Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion.

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Bibliographic Details
Title: Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion.
Authors: Shu HJ; Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan., Chen CJ; Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan., McCoy LG; Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada., Wang R; Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan., Kuo PC; Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan.; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America., Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.; Division of Pulmonary Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Source: PLOS digital health [PLOS Digit Health] 2026 Jun 12; Vol. 5 (6), pp. e0001467. Date of Electronic Publication: 2026 Jun 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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