Pharmacy Times October 15, 2024
Key Takeaways
- The FDA struggles with regulating AI/ML devices, often underestimating their prevalence and impact in medical devices.
- Continuous glucose monitors, despite AI/ML integration, follow traditional approval pathways, bypassing AI-specific scrutiny.
- Ethical concerns arise from AI biases, as studies reveal racial and gender disparities in medical diagnoses.
- Many AI/ML devices lack transparency and validation, posing challenges for regulatory oversight and public trust.
The FDA faces a multitude of challenges in regulating artificial intelligence (AI) and machine learning (ML) medical devices.
There are a lot of parallels with how the FDA manages the review of devices and drugs, explained Omar Badawi, PharmD, MPH, FCCM, during a presentation at the 2024 American College of Clinical Pharmacy (ACCP) Annual Meeting. However,...