FDA clears cardiac MRI AI with self-update built in
New CapabilitiesHeartvue.Proton automates hour-long cardiac MRI measurements; its models can improve within FDA-approved bounds without new filings
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Overview
Updated 1 hour agoReading a cardiac MRI by hand can take an hour. The FDA just cleared software that automates most of that work, and it comes with permission to keep improving itself.
Heartvue.Proton, from Brentwood, Tennessee-based Heartvue.ai, measures heart dimensions, ventricular volumes, ejection fraction, and blood flow automatically. Every result stays under physician review.
The clearance includes a predetermined change control plan (PCCP), a regulatory tool that lets the machine-learning models improve within FDA-approved bounds as clinical data grows. No new 510(k) filing is needed for each update. The company begins commercial rollout to U.S. hospitals and imaging centers.
Why it matters
Hour-long cardiac MRI analysis can now be automated, and the AI keeps improving without new FDA filings.
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People Involved
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Brentwood, Tennessee-based company building AI-powered automation for cardiovascular imaging.
Austin-based consultancy that guided Heartvue from initial FDA engagement through clearance.
The federal agency responsible for regulating medical devices in the United States.
Timeline
March 2026 September 2026
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Coverage highlights PCCP self-update mechanism
Today MediaNews reports focus on the predetermined change control plan as a regulatory first, noting the AI can improve within FDA-approved bounds without new filings.
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Heartvue.ai and Innolitics announce clearance
AnnouncementThe companies publicly announce the FDA clearance, highlighting the PCCP as a key feature that lets the AI improve as clinical data grows.
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FDA clears Heartvue.Proton with PCCP
RegulatoryFDA grants 510(k) clearance (K260811) for Heartvue.Proton, including a predetermined change control plan allowing model updates without new submissions.
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FDA receives Heartvue.Proton 510(k) submission
RegulatoryHeartvue.ai submits its 510(k) application for Heartvue.Proton, a machine-learning platform for cardiac MRI analysis.
Historical Context
2 moments from history that rhyme with this story — and how they unfolded.
First wave of AI radiology clearances (2018-2019)
The FDA cleared dozens of AI-based radiology tools, but they were locked. Any algorithm change required a new submission, and companies had to file new 510(k)s for even minor updates.
Companies faced high costs for improving their algorithms post-market.
This created a disincentive to update AI models, making them stale over time.
The PCCP in Heartvue.Proton's clearance directly addresses this limitation, allowing controlled algorithm evolution.
FDA's AI/ML regulatory framework proposal (2019)
The FDA published a discussion paper proposing a regulatory framework for AI/ML-based software as a medical device. It introduced the concept of a predetermined change control plan, allowing algorithms to learn and improve post-market within pre-approved bounds.
The framework went through stakeholder feedback and refinement over several years.
PCCP became an official regulatory tool, now appearing in clearances like Heartvue.Proton.
This clearance is the practical implementation of a concept the FDA proposed seven years earlier.
