AI/ML-enabled medical device firms paid $39.7 million for radiology devices from 2017–2023, raising transparency concerns.
Key Details
- 1AI/ML-enabled medical device developers paid $39.7M for radiology devices over seven years.
- 2Total industry payments to healthcare entities reached $179M in the same period; only cardiovascular devices saw more ($59.4M).
- 3Researchers identified 846 FDA-listed AI/ML-enabled medical devices, but only 79 (9.3%) disclosed payment data.
- 4Annual payments rose from $17.3M in 2017 to $24.6M in 2023, with general payments doubling from $6.6M to $13.3M.
- 5The number of physician and hospital payment recipients more than doubled, but most manufacturers reported no payments.
- 6Study suggests underreporting may occur due to differing device clearance, reimbursement, and classification pathways.
Why It Matters
Financial incentives from AI device manufacturers may influence adoption and promotion decisions in radiology, underlining the importance of transparency. Calls for modernized disclosure requirements could affect radiology-AI industry practices and regulatory oversight.
Source
AuntMinnie
Related News
•AuntMinnie
Radiology Receives Declining Share of Industry Research Funding
Radiologists received only 1.1% of industry-funded research payments in 2024, with a continuing downward trend.
•AuntMinnie
GPT-4o AI Matches Radiologists in Follow-Up Imaging Recommendations
GPT-4o matched the performance of experienced radiologists and surpassed residents in recommending follow-up imaging from routine radiology reports.
•Cardiovascular Business
AI Leverages Head CTs for Automated Heart Risk Assessments
AI models can turn routine head CT scans into automated cardiovascular risk assessments, expanding the utility of radiology studies.