MedTech Dive May 21, 2024
Elise Reuter

By testing artificial intelligence and machine learning models, the agency hopes to come up with best practices for Parkinson’s measures from wearables and smartphones.

Dive Brief:

  • The Food and Drug Administration is seeking examples of artificial intelligence and machine learning models that can identify and predict freezing of gait events related to Parkinson’s disease.
  • Freezing of gait is a temporary loss of forward movement while walking. These episodes affect people’s quality of life and daily activities, but they can be difficult to measure because they often happen when patients are outside of a clinic or hospital setting.
  • By testing these models against its own data, the FDA hopes to better understand the ability of these technologies to...

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Topics: AI (Artificial Intelligence), Digital Health, FDA, Govt Agencies, Patient / Consumer, Provider, Technology, Wearables
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