AI-enabled privacy-preserving cardiac diagnostics via electrocardiograms.

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Bibliographic Details
Title: AI-enabled privacy-preserving cardiac diagnostics via electrocardiograms.
Authors: Shishir FS; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA. shishir@ku.edu., Harvey CJ; Department of Cardiovascular Medicine, University of Kansas Medical Center, Kansas City, KS, USA., Gupta A; Department of Cardiovascular Medicine, University of Kansas Medical Center, Kansas City, KS, USA., Noheria A; Department of Cardiovascular Medicine, University of Kansas Medical Center, Kansas City, KS, USA., Shomaji S; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA.
Source: Scientific reports [Sci Rep] 2026 Apr 15; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 15.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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