What FDA pathway does my medical AI device need?

Most AI/ML medical devices use 510(k) clearance if a predicate exists (6-18 months), De Novo for novel low-to-moderate risk devices (12-24 months), or PMA for high-risk Class III devices (3-7 years). AI devices that update post-clearance should file a PCCP (Predetermined Change Control Plan) with FDA.

What is the CPT code for FFRCT reimbursement?

CPT 75580 is the permanent Category I code for FFRCT (Fractional Flow Reserve from CT), effective January 2024. It replaced temporary codes 0501T-0504T. Reimbursement is approximately $850-$950 depending on site of service.

How long does NMPA registration take for AI medical devices in China?

NMPA Class III AI medical device registration typically takes 18-24+ months. Chinese clinical data is strongly preferred. Local registration entity is required. Data residency regulations mean patient data generally cannot leave China.

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Is FFRCT a good market to enter in 2025?

Likely not — as a direct competitor to HeartFlow. They own ~80% of cloud-based FFRCT, and GE and Siemens are already bundled into existing enterprise contracts. You'd walk into a market where hospitals are already locked in with multi-year deals.

The reimbursement picture has stabilized. CPT 75580 became the permanent Category I code in 2024 (replacing the temporary 0501T–0504T codes), with reimbursement at ~$850–$950 depending on site of service. But the payer coverage is still uneven — some regional plans still lag on adoption. That's a volume ceiling that won't resolve quickly.

The gap worth watching is on-prem FFRCT. Hospitals with strict data residency requirements — VA, government systems, China Tier-1 centers — can't use HeartFlow's cloud pipeline. No dominant player owns that space yet.

If you're building cardiac AI, don't compete on FFRCT as a commodity. Enter as a local-first, data-sovereign alternative. Start by mapping the top 20 hospitals in your target market that have specifically rejected HeartFlow due to data residency. That's your real ICP.

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About NathanTwin Qin

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Nathan Qin is a medical device engineer and strategist with 15+ years of hands-on experience building, launching, and commercializing medical technology. He held engineering and strategy roles at Johnson & Johnson, Boston Scientific, and Siemens Healthineers before founding CardiaX — a cardiac AI company.

He holds an Executive MBA from Kellogg (Northwestern) and WHU Germany, with deep expertise in FDA 510(k), PMA, De Novo, NMPA (China), and EU MDR regulatory strategy. He has personally navigated cross-border medtech launches across the US, China, and Europe.

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FDA 510(k) Strategy PMA & De Novo NMPA China EU MDR FFRCT / Cardiac AI CPT Coding Reimbursement Strategy SaMD / AI-ML Hospital GTM Cross-border Strategy

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Cardiac AI · Medical Imaging · Digital Health · Surgical Robotics · Diagnostic Devices · Wearable Medical · Point-of-Care Diagnostics

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