OPTIS Mobile Next Imaging System (1014932); OPTIS Integrated Next Imaging System (1014933); Ultreon 3.0 Software Upgrade Kit (ULTR300001)
Applicant
ABBOTT MEDICAL
Product Code
NQQ · Radiology
Decision Date
Apr 24, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1560
Device Class
Class 2
Attributes
AI/ML, Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K253459 · Apr 24, 2026
OPTIS Mobile Next Imaging System (1014932); OPTIS Integrated Next Imaging System (1014933); Ultreon 3.0 Software Upgrade Kit (ULTR300001)
ABBOTT MEDICAL
Retrospective OCT case recordings from PCI procedures; Multi-site core-lab clinical datasets
Retrospective clinical OCT case recordings were used to train and verify the performance of machine learning algorithms for automated morphology assessments, including lipid detection, angio-coregistration, lumen confidence scoring, guide catheter detection, and stent detection.
The OPTIS™ Next Imaging Systems with a compatible Dragonfly™ Imaging Catheter is intended for the imaging of coronary arteries and is indicated in patients who are candidates for transluminal interventional procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel which has undergone a previous bypass procedure. The OPTIS™ Next Imaging Systems are intended for use in the catheterization and related cardiovascular specialty laboratories and will further compute and display various physiological parameters based on the output from one or more electrodes, transducers, or measuring devices. The physician may use the acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment to determine if therapeutic intervention is indicated.
Device Story
System performs Optical Coherence Tomography (OCT) imaging of coronary arteries using Dragonfly™ catheters; computes physiological parameters (RFR, FFR, Pd/Pa) via pressure wire inputs. Ultreon™ 3.0 software utilizes machine learning to automate morphology assessments, including lipid plaque detection, angio co-registration, lumen contour confidence scoring, and guide catheter/stent detection. Used in catheterization labs by physicians; system provides visual overlays and physiological waveforms to assist in assessing coronary lesion severity. Output informs clinical decision-making regarding therapeutic intervention. System configurations include mobile cart-mounted or stationary cabinet-housed units. Features include fast pullback for image acquisition and cloud connectivity for updates.
Clinical Evidence
Bench testing only. Software verification and validation confirmed performance against design requirements. Human factors summative evaluation confirmed no significant user errors. Machine learning algorithms validated using independent, sequestered datasets from multi-site core-lab OCT recordings. Performance metrics reported for lipid detection (98% sensitivity, 91% specificity), angio-coregistration (95% accuracy), and stent/guide catheter detection (100% sensitivity/PPV).
Technological Characteristics
System comprises PC, imaging engine, and power supply in mobile or stationary configurations. Uses OCT imaging (ultrasonic pulsed echo/optical) and pressure-sensing physiology. Software includes ML-based automated detection algorithms. Connectivity includes cloud for updates. Complies with ISO 13485:2016, IEC 62304:2015, and ISO 14971:2019.
Indications for Use
Indicated for patients who are candidates for transluminal interventional procedures requiring coronary artery imaging. Dragonfly™ Imaging Catheter use restricted to vessels 2.0 to 3.5 mm in diameter. Contraindicated for use in the left main coronary artery or target vessels with previous bypass procedures.
Regulatory Classification
Identification
An ultrasonic pulsed echo imaging system is a device intended to project a pulsed sound beam into body tissue to determine the depth or location of the tissue interfaces and to measure the duration of an acoustic pulse from the transmitter to the tissue interface and back to the receiver. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Special Controls
*Classification.* Class II (special controls). A biopsy needle guide kit intended for use with an ultrasonic pulsed echo imaging system only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
Predicate Devices
OPTIS™ Mobile Next Imaging System, OPTIS™ Integrated Next Imaging System with Ultreon™ Software 1.0 (K210458)
Submission Summary (Full Text)
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FDA U.S. FOOD & DRUG ADMINISTRATION
April 24, 2026
Abbott Medical
Derek Pike
Senior Regulatory Affairs Specialist
4 Robbins Rd.
Westford, Massachusetts 01886
Re: K253459
Trade/Device Name: OPTIS™ Mobile Next Imaging System (1014932);
OPTIS™ Integrated Next Imaging System (1014933);
Ultreon™ 3.0 Software Upgrade Kit (ULTR300001)
Regulation Number: 21 CFR 892.1560
Regulation Name: Ultrasonic Pulsed Echo Imaging System
Regulatory Class: Class II
Product Code: NQQ, DQK, DSK
Dated: April 20, 2026
Received: April 20, 2026
Dear Derek Pike:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K253459 - Derek Pike
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the
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K253459 - Derek Pike
Page 3
Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
MARCO CANNELLA -S
for:
- Aneesh Deoras
- Assistant Director
- Division of Cardiac Electrophysiology, Diagnostics, and Monitoring Devices
- Office of Cardiovascular Devices
- Office of Product Evaluation and Quality
- Center for Devices and Radiological Health
Enclosure
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# Indications for Use
| Please type in the marketing application/submission number, if it is known. This
textbox will be left blank for original applications/submissions. | K253459 | ? |
| --- | --- | --- |
| Please provide the device trade name(s). | | ? |
| OPTIS Mobile Next Imaging System (1014932)
OPTIS Integrated Next Imaging System (1014933)
Ultreon 3.0 Software Upgrade Kit (ULTR300001) | | |
| Please provide your Indications for Use below. | | ? |
| Indications for Use for Ultreon 3.0 Software:
The Ultreon™ 3.0 Software is intended to be used only with compatible OPTIS™ Next Imaging Systems.
The OPTIS™ Next Imaging Systems with a compatible Dragonfly™ Imaging Catheter is intended for the
imaging of coronary arteries and is indicated in patients who are candidates for transluminal interventional
procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter.
The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target
vessel which has undergone a previous bypass procedure.
The OPTIS™ Next Imaging Systems are intended for use in the catheterization and related cardiovascular
specialty laboratories and will further compute and display various physiological parameters based on the
output from one or more electrodes, transducers, or measuring devices. The physician may use the
acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical
judgment to determine if therapeutic intervention is indicated.
Indications for Use OPTIS Mobile Next System:
The OPTIS™ Mobile Next with a compatible Dragonfly™ Imaging Catheter is intended for the imaging of
coronary arteries and is indicated in patients who are candidates for transluminal interventional procedures.
The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The
Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel
which has undergone a previous bypass procedure.
The OPTIS™ Mobile Next is intended for use in the catheterization and related cardiovascular specialty
laboratories and will further compute and display various physiological parameters based on the output from
one or more electrodes, transducers, or measuring devices. The physician may use the acquired
physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment
to determine if therapeutic intervention is indicated.
Indications for Use OPTIS Integrated Next System:
The OPTIS™ Integrated Next with a compatible Dragonfly™ Imaging Catheter is intended for the imaging
of coronary arteries and is indicated in patients who are candidates for transluminal interventional
procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter.
The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target
vessel which has undergone a previous bypass procedure.
The OPTIS™ Integrated Next is intended for use in the catheterization and related cardiovascular specialty
laboratories and will further compute and display various physiological parameters based on the output from
one or more electrodes, transducers, or measuring devices. The physician may use the acquired
physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment
to determine if therapeutic intervention is indicated. | | |
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Please select the types of uses (select one or both, as applicable).
☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C)
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510(k) Summary for K253459
OPTIS Mobile Next and OPTIS Integrated Next with Ultreon 3.0 Software
| 510(k) Summary Per 21 CFR 807.92 | |
| --- | --- |
| 510(k) Number | K253459 |
| Date Prepared | April 20, 2026 |
| Submitter | Abbott Medical |
| Name & Address | 4 Robbins Road
Westford, MA, 01886 |
| Contact Person | Derek Pike
978-577-3595 |
| Alternative Contact Person | Jose Marquez
978-577-3578 |
| Proprietary / Trade Name | OPTIS™ Mobile Next Imaging System (1014932)
OPTIS™ Integrated Next Imaging System (1014933)
Ultreon™ 3.0 Software Upgrade Kit (ULTR300001) |
| Common / Usual Name | Ultrasonic pulsed echo imaging system |
| Product Classification | Product Code: NQQ, DQK, DSK |
| Product Regulation Number | 21 CFR 892.1560 - Ultrasonic pulsed echo imaging system
21 CFR 870.1425 - Programmable diagnostic computer
21 CFR 870.1110 - Blood pressure computer |
| Predicate Device | OPTIS™ Mobile Next Imaging System, OPTIS™ Integrated Next Imaging System with Ultreon™ Software 1.0 (K210458) |
# Device Description:
The OPTIS™ Mobile Next is comprised of a cart-mounted personal computer, imaging engine, and power supply that are placed inside an ergonomically designed mobile cart. This system includes a keyboard, display monitors, mouse, tableside controller, and a Drive-motor and Optical Controller (DOC).
The OPTIS™ Integrated Next is comprised of a PC, imaging engine, and power supply that are housed in stationary cabinet which is located in the clinic/hospital equipment closet of
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a catheter lab. The tableside controller, DOC and DOC Holster are located in the procedure room, and the keyboard, display monitor, and mouse are located in the control room.
The Ultreon™ 3.0 software application running on the OPTIS Next Systems performs Optical Coherence Tomography (OCT) imaging of coronary arteries using a compatible Dragonfly imaging catheter. Ultreon software leverages machine learning artificial intelligence capabilities, enabling automated morphology assessments, including augmented display of calcium, EEL (external elastic lamina), and lipidic plaques. Using wire-based physiology, Ultreon 3.0 supports evaluation of Resting Full-cycle Ratio (RFR), Fractional Flow Reserve (FFR), and Pd/Pa at rest physiological waveforms to assess the severity of a coronary lesion by measuring the pressure drop across the lesion (distal vs proximal pressure).
## Intended Use / Indications for Use:
### Ultreon 3.0 Software:
The Ultreon™ 3.0 Software is intended to be used only with compatible OPTIS™ Next Imaging Systems.
The OPTIS™ Next Imaging Systems with a compatible Dragonfly™ Imaging Catheter is intended for the imaging of coronary arteries and is indicated in patients who are candidates for transluminal interventional procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel which has undergone a previous bypass procedure.
The OPTIS™ Next Imaging Systems are intended for use in the catheterization and related cardiovascular specialty laboratories and will further compute and display various physiological parameters based on the output from one or more electrodes, transducers, or measuring devices. The physician may use the acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment to determine if therapeutic intervention is indicated.
### OPTIS Mobile Next System
The OPTIS™ Mobile Next with a compatible Dragonfly™ Imaging Catheter is intended for the imaging of coronary arteries and is indicated in patients who are candidates for transluminal interventional procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel which has undergone a previous bypass procedure.
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The OPTIS™ Mobile Next is intended for use in the catheterization and related cardiovascular specialty laboratories and will further compute and display various physiological parameters based on the output from one or more electrodes, transducers, or measuring devices. The physician may use the acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment to determine if therapeutic intervention is indicated.
## OPTIS Integrated Next System
The OPTIS™ Integrated Next with a compatible Dragonfly™ Imaging Catheter is intended for the imaging of coronary arteries and is indicated in patients who are candidates for transluminal interventional procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel which has undergone a previous bypass procedure.
The OPTIS™ Integrated Next is intended for use in the catheterization and related cardiovascular specialty laboratories and will further compute and display various physiological parameters based on the output from one or more electrodes, transducers, or measuring devices. The physician may use the acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment to determine if therapeutic intervention is indicated.
## Technological Comparison to the Predicate:
The OPTIS™ Next Imaging Systems with Ultreon™ 3.0 Software are substantially equivalent to the predicate The OPTIS™ Next Imaging Systems with Ultreon™ 1.0 Software (K210458) in terms of intended use, indications for use, operational characteristics, fundamental design, and technological characteristics. Changes to technological characteristics of the device are limited to the software only and do not raise new questions of safety or effectiveness.
| | Predicate Device: OPTIS™ Next Imaging System with Ultreon™ 1.0 Software (K210458) | Subject Device: OPTIS™ Next Imaging System with Ultreon™ 3.0 Software (K253459) |
| --- | --- | --- |
| Intended Use/Indications for Use | The OPTIS Next Imaging Systems with a compatible Dragonfly™ OPTIS™ Imaging Catheter or Dragonfly OpStar™ Imaging Catheter is intended for the | The OPTIS™ Next Imaging Systems with a compatible Dragonfly™ Imaging Catheter is intended for the imaging of coronary arteries and is indicated |
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| | Predicate Device: OPTIS™ Next Imaging System with Ultreon™ 1.0 Software (K210458) | Subject Device: OPTIS™ Next Imaging System with Ultreon™ 3.0 Software (K253459) |
| --- | --- | --- |
| | imaging of coronary arteries and is indicated in patients who are candidates for transluminal interventional procedures. The Dragonfly OPTIS Imaging Catheter or Dragonfly OpStar Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The Dragonfly OPTIS Imaging Catheter or Dragonfly OpStar Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel which has undergone a previous bypass procedure.
The OPTIS Next Imaging Systems is intended for use in the catheterization and related cardiovascular specialty laboratories and will further compute and display various physiological parameters based on the output from one or more electrodes, transducers, or measuring devices. The physician may use the acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment to determine if therapeutic intervention is indicated. | in patients who are candidates for transluminal interventional procedures. The Dragonfly™ Imaging Catheter is intended for use in vessels 2.0 to 3.5 mm in diameter. The Dragonfly™ Imaging Catheter is not intended for use in the left main coronary artery or in a target vessel which has undergone a previous bypass procedure.
The OPTIS™ Next Imaging Systems are intended for use in the catheterization and related cardiovascular specialty laboratories and will further compute and display various physiological parameters based on the output from one or more electrodes, transducers, or measuring devices. The physician may use the acquired physiological parameters, along with knowledge of patient history, medical expertise, and clinical judgment to determine if therapeutic intervention is indicated. |
| System Overview | Personal computer, laser engine and power supply available in either cart-mounted (Mobile) or stationary (Integrated) configurations to provide a comprehensive imaging and | Same |
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| | Predicate Device: OPTIS™ Next Imaging System with Ultreon™ 1.0 Software (K210458) | Subject Device: OPTIS™ Next Imaging System with Ultreon™ 3.0 Software (K253459) |
| --- | --- | --- |
| | physiology diagnostic platform controlled by Ultreon Software. | |
| Measurement & Display | OCT recordings, FFR, Pd/Pa at rest, and RFR physiological waveforms | Same |
| Imaging and Physiology Compatibility | Dragonfly OPTIS and Dragonfly OpStar Imaging Catheters for OCT Imaging, PressureWire X Guidewire for physiology | Dragonfly OpStar Imaging Catheter for OCT Imaging, PressureWire X Guidewire for physiology. |
| Design Modifications | N/A | Ultreon 3.0 Software builds upon the predicate Ultreon 1. Software by adding:
• AI-based automated lipid detection
• AI-based enhancements for angio co-registration, lumen detection, guide catheter detection, and stent detection
• Fast pullback for faster OCT image acquisition
• Cloud connectivity for future software updates |
# Non-Clinical Testing Summary:
OPTIS Next Systems with Ultreon 3.0 Software were extensively tested in accordance with ISO 13485:2016, IEC 62304:2015, and ISO 14971:2019 to demonstrate safety and effectiveness, and to ensure that the systems perform as intended. All testing yielded passing results.
- Software Verification testing confirmed that the software meets all applicable design requirements and specifications.
- Software Validation testing confirmed that the software meets all applicable user requirements and is suitable for clinical use.
- The Human factors summative evaluation confirmed that the new software features did not introduce any user errors which could cause significant harm when the device is used as intended under anticipated use conditions.
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- The Risk assessment and hazard analysis concluded that all risks are mitigated as far as possible and that the benefits of treatment outweigh any potential risks to the patient.
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# Machine Learning Validation Summary:
Ultreon 3.0 includes artificial intelligence algorithms which were developed using machine learning techniques. Real-world evidence was obtained from OCT case recordings of PCI cases representing a variety of disease states in multiple patients in the clinical setting. The artificial intelligence algorithms are deployed for both primary detection and post-processing as summarized below. All performance testing results met Abbott's pre-defined acceptance criteria.
Ultreon 3.0 introduces automatic lipid detection in OCT pullback images. The output of this algorithm is driven by artificial intelligence and used as an aid for OCT morphological assessments. For the lipid detection training data, four annotators were used to generate the reference standard. For the verification data, four annotators/reviewers were used to generate the reference standard, with one annotator overlapping the two groups.
| Algorithm | Reference Standard Creation | Aspect Under Test | Appropriateness of Performance | Verification Performance Point Estimate (95% LCB) | Verification Test Set Description |
| --- | --- | --- | --- | --- | --- |
| Lipid Detection | Annotate perimeter of visible calcific plaque; reviewer modifications to region re-reviewed by original annotator for final agreement relative to annotation protocol | Lipid Plaque Arc Identification | The high performance of the lipid arc detection shows good correlation between the visible lipid plaque and the detection overlays displayed to the user on the 2D cross sections | Sensitivity: 98% (97%), n = 2,790 frames Specificity: 91% (90%), n = 10,068 frames | 108 OCT pullbacks, across 108 patients. |
The following algorithms use artificial intelligence components at either pre-processing or post-processing steps to confirm the output of the traditional computational algorithms. The output of these algorithms is not driven by machine learning.
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| Algorithm | ML Component Function | Reference Standard Creation | Aspect Under Test | Appropriateness of Performance | Verification Performance Point Estimate (95% LCB) | Verification Test Set Description |
| --- | --- | --- | --- | --- | --- | --- |
| Auto Angio-Coregistration | A machine learning component is used as a pre-processing step to the angio-coregistration algorithm. It identifies the working vessel, using pre-contrast frames, to provide the hint points to the predicate angio-coregistration algorithm. The predicate algorithm responsible for angio-coregistration of the OCT lens marker to the working vessel remains the same, but when auto-coregistration succeeds, the user does not have to place the manual proximal and distal hint points. | Annotate OCT lens marker and location where lens marker crosses edges of stent; reviewer modification to object re-reviewed by original annotator for final agreement relative to annotation protocol | OCT lens marker location identification on Angio frames | There is high performance in the accuracy of the OCT lens marker detection displayed to the user on the angio frames. | 95% (94%) | 233 OCT pullbacks for single frame analysis (n = 5,928 Angio Frames) |
| | | | Cross frame locations identification on Angio frames | There is high performance in the accuracy of the cross frame location detection displayed to the user on the angio frames. | 82% (81%) | 89 OCT pullbacks for cross frame analysis (n = 3,892 Co-registered Objects) |
| Lumen (red frame) detection | The lumen contour detection and measurements remain the same predicate algorithm. The lumen confidence | Annotate contour of lumen-vessel boundary; reviewer modification to contour re-reviewed by original annotator for final | Correct low and high confidence lumen detection | The software has high performance in the detection of low-confidence lumen contours when | 95% (95%) | 118 OCT cases of real-world data (>200 frames/case); total n = 33,565 frame samples |
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| Algorithm | ML Component Function | Reference Standard Creation | Aspect Under Test | Appropriateness of Performance | Verification Performance Point Estimate (95% LCB) | Verification Test Set Description |
| --- | --- | --- | --- | --- | --- | --- |
| | scoring now utilizes a machine learning lumen detection as an input into the confidence scoring of lumen detection during post processing. The UI displays "red frames" for low confidence lumen detection frames on the Image Quality Assessment page. | agreement relative to annotation protocol | Correct high confidence lumen detections | displaying red-frames to the user on the Image Quality Assessment Page | 98% (98%) | |
| | | | Limiting the incorrect high confidence lumen detections | | 2% (2%) | |
| | | | Limiting misclassification of lumen detections | | 5% (5%) | |
| Guide Catheter Detection | A post-processing step using machine learning outputs was introduced to reject false positive guide catheter detections in predicate algorithm. | Annotate frame of most distal tip of guide catheter; reviewer modification to frame re-reviewed by original annotator for final agreement relative to annotation protocol | Guide catheter tip detection within 1mm | The software has high performance in detecting the guide-catheter tip location within 1mm as seen in the OCT cross sections | Sensitivity: 100% (100%)
Specificity: 100% (100%) | 50 OCT cases of real-world data (n = 25 positive, n = 25 negative) |
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| Algorithm | ML Component Function | Reference Standard Creation | Aspect Under Test | Appropriateness of Performance | Verification Performance Point Estimate (95% LCB) | Verification Test Set Description |
| --- | --- | --- | --- | --- | --- | --- |
| Stent Detection | A post-processing step using machine learning outputs was introduced to reject false positive stented frame detections. Strut detection and following malapposition calculations remain the same as predicate device. | Annotate frame of most distal & proximal edge of stent; reviewer modification to frame re-reviewed by original annotator for final agreement relative to annotation protocol | Stented region detection accuracy | The software has high performance in detecting the stented region in OCT | Sensitivity: 100% (100%) PPV: 100% (100%) | 80 OCT cases of real-world data (n= 40 positive, n = 40 negative) |
The data sources for both testing and training were sourced from large multi-site core-lab initiatives; there may be some training and test data that originated from the same site. The data sets used for testing (verification) and training were independent and sequestered by the Abbott QA team.
The machine learning algorithm of the Ultraon 3.0 software demonstrated consistent and comparable performance across subgroups by vessel characteristics such as MLA and calcification as stratified by calcium score.
## Conclusion:
The non-clinical data supports the safety of the device, and the verification and validation testing demonstrates that the subject device should perform as intended. Based on the totality of evidence provided in this 510(k), the subject device is substantially equivalent to the predicate.
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Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.