Another few dozen million dollars went into AI healthcare companies last week (see Recent Funding below), reminding us that regulatory implications need to keep up with the proliferation of companies. So to advance the conversation about how to regulate AI and machine learning in healthcare, Rock Health and Evidation convened a working group to define unresolved questions—like what attributes should be assessed to determine the quality of an AI company? And what benchmark data is acceptable? Read our full post here.
We welcome your feedback on the four guiding questions developed by our working group. We’ll share the learnings with you—and the FDA—later this year.
How Should FDA Approach Regulation Of AI And Machine Learning In Healthcare?
Four guiding questions our working group developed Rock Health
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- AI-based drug discovery company Recursion Pharmaceuticals raised $20.5M in credit facility
- Nference, a company synthesizing biomedical knowledge with AI, raised $11M
- Parachute Health closed another $9.5M for electronic medical equipment orders
- Data integration platform Bridge Connector raised $4.5M
- 10% Happier, a meditation app for skeptics, raised $3.7M
- Ryan Howard's iBeat raised an undisclosed amount for its cardiac monitoring smartwatch