
A new study finds fewer than 30% of FDA-cleared AI medical devices reported key safety or adverse event data before approval.
Key Details
- 1Study reviewed FDA data for AI/ML devices cleared between 1995 and July 2023.
- 2Out of 691 devices analyzed, 531 were radiology-specific.
- 3Fewer than 30% of devices shared safety or adverse event information prior to clearance.
- 4Authors call for more stringent testing and clearer regulatory standards.
- 5Lack of predefined efficacy and risk standards highlighted as a critical issue.
Why It Matters

Source
Health Imaging
Related News

Mayo Clinic Sued Over Alleged AI Improprieties and Whistleblower Retaliation
A former Mayo Clinic research director sues the institution, alleging retaliation after raising concerns about improper AI use affecting patient safety and data integrity.

Framework Assesses Real-World Financial Impact of Radiology AI Adoption
A new analysis presents a financial calculator for objectively assessing the return on investment (ROI) of implementing radiology AI solutions.

AI Technique Unveils Previously Hidden MS Gray Matter Lesions on MRI
Researchers developed an AI-enhanced method to detect previously invisible gray matter lesions in multiple sclerosis using MRI.