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

•Radiology Business
AI-Generated Reports Cut Radiology Reading Times and Gain Acceptance
AI-generated reporting significantly reduces radiologists' reading times and increases report acceptability over time.

•AuntMinnie
Mammography Acquisition Parameters Impact AI and Radiologist Performance
A study finds mammography acquisition settings influence both AI and radiologist performance in breast cancer detection.

•AuntMinnie
AI Outperforms Physicians in Detecting Achalasia on Chest X-Rays
An AI model achieved high accuracy in identifying esophageal achalasia on chest x-rays, surpassing physician performance.