Peer-Reviewed Publication
JACC Heart Fail2026;103422.October 9, 2026Journal Article

Artificial Intelligence-Enabled Detection and Management of Physiological Instability in Heart Failure: Results of the Randomized LINK-HF2 Trial.

Konstantinos Sideris1, Carsten Schmalfuss2, Neil Lewis3, Karim Sallam4, Biykem Bozkurt5, Thomas C Hanff1, Michael T Young6, Richard Schofield2, Christos P Kyriakopoulos1, Heather Hanson7, Lina Brinker1, Peter Wohlfahrt8, Mandeep R Mehra9, Tempa Curry10, Cheri Knecht10, Stephanie Tuckett11, Richard E Nelson1, Susan L Zickmund1, Jorie M Butler11, Jay M Edelberg6, Gregory H Kurio6, Stephan Wegerich6, Stylianos Serghiou6, Matt Pipke6, Josef Stehlik12
1George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
2Malcom Randall VA Medical Center, Gainesville, Florida, USA; Department of Internal Medicine, University of Florida College of Medicine, Gainesville, Florida, USA.
3Hunter Holmes McGuire Veterans Medical Center, Richmond, Virginia, USA.
4VA Palo Alto Health Care System, Palo Alto, California, USA.
5Michael E. DeBakey VA Medical Center & Baylor College of Medicine, Houston, Texas, USA.
6Prolaio, Inc, Chicago, Illinois, USA.
7Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA.
8Department of Cardiology, Institute of Clinical and Experimental Medicine, Prague, Czech Republic.
9Center for Advanced Heart Disease, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
10Malcom Randall VA Medical Center, Gainesville, Florida, USA.
11George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA; Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
12George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA. Electronic address: Josef.Stehlik@hsc.utah.edu.

Abstract

BACKGROUND: Artificial intelligence (AI)-enabled wearable monitoring can detect individualized physiological deviations preceding heart failure (HF) decompensation, but whether these signals can be translated into improved outcomes remains uncertain. OBJECTIVES: This study aims to evaluate the feasibility of integrating AI-generated notifications with a structured clinician response algorithm int…

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