Sorting Results of Unknown Significance—A Framework for Clinicians Navigating Wearable Data in the AI Era
This Perspective outlines a framework for clinicians navigating physiologic data from wearable devices, referred to as “results of unknown significance,” including the need for universal evidentiary standards and shared language.
Authors
- Sandeep P. Kishore (ORCID: https://orcid.org/0000-0002-4934-0730)
- Pranay Narang (ORCID: https://orcid.org/0000-0001-8592-1607)
- A Auerbach
Institutions
- University of California, San Francisco (US)
- Philip R. Lee Institute for Health Policy Studies (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- JAMA
- Published
- 2026-08-03
- DOI
- https://doi.org/10.1001/jama.2026.13895
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00