Five measures the FDA plans to take:
- Further development of regulatory framework, including draft guidance on a change control plan for AI’s learning over time
- Working toward the unified development of good machine learning practices to assess and improve AI algorithms
- Advocating for a patient-centric approach to AI design, including delivering device transparency to users
- Creating strategies to effectively evaluate and improve AI algorithms
- Supporting the expansion of real-world performance monitoring pilots
More articles on artificial intelligence:
MUSC creates AI tool to predict patients’ risks for COVID-19 complications
3 recent studies exploring medical AI tools’ efficacy
Children’s National Hospital, NIH launch COVID-19 diagnostics AI challenge
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.