Safety Proposal for AI-Enabled Medical Devices
The Paragon Health Institute has released a research paper proposing a new framework to address ‘generalization uncertainty’ in AI-enabled medical devices. This framework, known as Digital Similarity Analysis (DSA), aims to evaluate the similarity of a patient’s information to the training data of AI devices. The proposal seeks to improve patient safety without mandating inefficient remedies, ultimately enhancing the effectiveness of AI in healthcare while addressing concerns about algorithmic bias and accessibility to healthcare systems.
WASHINGTON, May 20, 2026 /PRNewswire/ — Paragon Health Institute, a leader in health care research and market-based policy reforms, has published Generalization Uncertainty in AI-Enabled Medical Devices: A Safer Way Forward, a major research paper proposing a new framework for one of the…