Artificial intelligence methods to detect heart failure with preserved ejection fraction within electronic health records: an equitable disease detection model

AIM-HFpEF represents a validated equitable diagnostic model for HFpEF, which can be embedded within an EHR to allow for fully automated HFpEF detection.

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Publication Details

Journal
European Heart Journal - Digital Health
Published
2025-09-15
DOI
https://doi.org/10.1093/ehjdh/ztaf107
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94

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article

Artificial intelligence methods to detect heart failure with preserved ejection fraction within electronic health records: an equitable disease detection model

Daniel Sado, Daniel I. Bromage, Ali Vazir, Narbeh Melikian et al.
1 citations
European Heart Journal - Digital Health
Artificial Intelligence in Healthcare
2.94
article

Artificial intelligence methods to detect heart failure with preserved ejection fraction within electronic health records: an equitable disease detection model

Daniel Sado, Daniel I. Bromage, Ali Vazir, Narbeh Melikian, Jack Wu, Kevin O’Gallagher, Theresa A. McDonagh, James Teo, Natalie Fairhurst, Dhruva Biswas, Maleeha Rizvi, Brett Bernstein, Ranu Baral, Richard Dobson, Brian Tam To, Phil Chowienczyk, M. J. Ryan, Thomas Searle, Ajay M. Shah, Sam P. Brown, Daksh Mehta, George Kaye, Gerald Carr‐White, Jessica Webb, D. Vijayakumar, Thomas F. Lüscher
article en
1 citations

Abstract

AIM-HFpEF represents a validated equitable diagnostic model for HFpEF, which can be embedded within an EHR to allow for fully automated HFpEF detection.

European Heart Journal - Digital HealthVol. 7(1)
King's College - North Carolina (US), King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Harefield Hospital (GB), British Heart Foundation (GB), Yale University (US), Thomas Foundation (AU), King's College Hospital NHS Foundation Trust (GB), King's College School (GB)
Amgen, Eli Lilly and Company, AstraZeneca, Sanofi, British Heart Foundation, King's College London, Novo Nordisk, Medical Research Council
Openalex Percentile: Top 6%
Artificial Intelligence in Healthcare
2.94
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