MedTech Dive June 17, 2024
Nick Paul Taylor

The agency worked with regulators in the U.K. and Canada to determine how key information about machine learning-enabled devices should be communicated.

Dive Brief:

  • The Food and Drug Administration and its international partners have created guiding principles for transparency for machine learning-enabled medical devices, the agency said Thursday.
  • Working with its counterparts in Canada and the U.K., the FDA has developed the principles to ensure information that could affect risks and patient outcomes is communicated.
  • The agencies explained what information device developers should communicate and how they should get it to users to provide the industry with best transparency practices.

Dive Insight:

The FDA, Health Canada and the U.K.’s Medicines and Healthcare products Regulatory Agency jointly identified...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), FDA, Govt Agencies, Medical Devices, Technology
FDA warns GLP-1 compounder over safety rules
GLP-1 drug approvals: A breakdown
Rethinking FDA’s Accelerated Approval Pathway: New Draft Guidances and Implications for Drug Companies
FDA approves Novo Nordisk's Ozempic to treat chronic kidney disease in those with diabetes, expanding its use
Certainty vs. speed: How do patients feel about the tradeoff for new cancer drugs?

Share This Article