ID: 4346892 DESIGNING PATIENT-FACING AI TOOLS: USABILITY EVALUATION OF A SMARTPHONE APP DISPLAYING CARDIAC IMPLANTABLE DEVICE DATA
Machine learning (ML) algorithms leveraging data from cardiac implantable electronic devices (CIEDs) help detect early signs of decompensation. As cardiac patients increasingly seek access to personal health data, strategies for safely returning ML-based predictions are urgently needed.
Authors
- Meghan Reading Turchioe (ORCID: https://orcid.org/0000-0002-6264-6320)
- Stephanie Lai
- David J. Slotwiner (ORCID: https://orcid.org/0000-0002-4130-0419)
- Viktoria Averina
- Nicholas Yee
- Afra Shamnath
- So Hyeon Bang
- Julie Lindmark
- Jessica Federak
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.hroo.2025.07.078
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00