We welcome you to join us virtually (via Zoom) for a special July Seminar jointly hosted by eWEAR-X and the Center for Artificial Intelligence in Medicine & Imaging (AIMI).

“Scalable approach to consumer wearable postmarket surveillance: Development and validation study”

Speakers: Ben Viggiano, Ph.D. student in Biomedical Informatics, Stanford University and
Krishna Pundi, MD, Cardiac Electrophysiologist, Palo Alto VA Health Care System; Clinical Instructor, Stanford University

Abstract: Consumer wearables capable of rendering prediagnoses, such as for atrial fibrillation (AF), have the potential to influence downstream clinical decision-making. However, postmarket surveillance has been limited by the absence of codified indicators of wearable use in electronic health records (EHRs). In this talk, we demonstrate a novel approach to address this gap using a weak supervision-based framework to identify wearable-driven AF prediagnoses from clinical notes. Leveraging data programming via labeling functions and the Snorkel framework, we constructed a labeler model to probabilistically annotate notes and fine-tuned a Clinical-Longformer classifier. Using this approach, we were able to study the clinical characteristics of individuals with AF prediagnoses, their subsequent healthcare use, and clinical outcomes in a real-world cohort. This presentation demonstrates the feasibility and utility of EHR-based surveillance for consumer health technologies.

“Exploring the potential of Wearable AI in clinical care”

Speakers: Arjun Mahajan, MD student, Harvard and editorial fellow, Nature Portfolio Journal and
Dylan Powell, PhD, Physiotherapist, Assistant Professor (Lecturer) Public Health & Innovation, News and Views Editor, Nature npj Digital Medicine
 

Abstract: This presentation will explore the transformative potential of wearable AI technologies in clinical care, highlighting how these intelligent systems may enhance patient safety and support improved decision-making across diverse healthcare settings. Drawing on recent advancements in digital biomarkers and AI-enabled wearables, we will examine practical applications and discuss the challenges and opportunities for integrating these innovations into routine clinical practice.