Peer-Reviewed Publication
Hypertension2025;82(1):36-45.January 1, 2025Journal Article
Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.
Daichi Shimbo1, Rashmee U Shah2, Marwah Abdalla1, Ritu Agarwal3, Faraz S Ahmad4, Gabriel Anaya5, Zachi I Attia6, Sheana Bull7, Alexander R Chang8, Yvonne Commodore-Mensah9, Keith Ferdinand10, Kensaku Kawamoto11, Rohan Khera12,13,14,15, Jane Leopold5, James Luo16, Sonya Makhni17, Bobak J Mortazavi18,19, Young S Oh5, Lucia C Savage20, Erica S Spatz12,13,21, George Stergiou22, Mintu P Turakhia23, Paul K Whelton24, Clyde W Yancy25, Erin Iturriaga5
1Department of Medicine, Columbia University Irving Medical Center, New York, NY (D.S., M.A.).
2Division of Cardiovascular Medicine (R.U.S.), University of Utah School of Medicine, Salt Lake City.
3Center for Digital Health and Artificial Intelligence, Johns Hopkins Carey Business School, Baltimore, MD (R.A.).
4Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (F.S.A.).
5Division of Cardiovascular Sciences, National Institutes of Health, National Heart, Lung and Blood Institute, Bethesda, MD (G.A., J.L., Y.S.O., E.I.).
6Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (Z.I.A.).
7Department of Community and Behavioral Health, Colorado School of Public Health, Aurora (S.B.).
8Departments of Nephrology and Population Health Sciences, Geisinger, Danville, PA (A.R.C.).
9Johns Hopkins School of Nursing and Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD (Y.C.-M.).
10John W. Deming Department of Medicine (K.F.), Tulane University School of Medicine, New Orleans, LA.
11Department of Biomedical Informatics (K.K.), University of Utah School of Medicine, Salt Lake City.
12Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (R.K., E.S.S.).
13Center for Outcomes Research and Evaluation, Yale New Haven Hospital, CT (R.K., E.S.S.).
14Section of Health Informatics, Department of Biostatistics (R.K.), Yale University School of Public Health, New Haven, CT.
15Yale University School of Public Health, New Haven, CT (R.K.).
16Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.L.).
17Department of Medicine, University of Chicago Medicine and Biological Sciences Division, Chicago (S.M.).
18Department of Computer Science & Engineering, Texas A&M University, College Station (B.J.M.).
19Yale School of Medicine, Yale University, New Haven, CT (B.J.M.).
20Chief Privacy & Regulatory Officer, Omada Health, Inc, San Francisco, CA (L.C.S.).
21Department of Epidemiology (Chronic Diseases) (E.S.S.), Yale University School of Public Health, New Haven, CT.
22Hypertension Center STRIDE-7, National and Kapodistrian University of Athens, School of Medicine, Third Department of Medicine, Sotiria Hospital, Greece (G.S.).
23Stanford University School of Medicine (Cardiovascular Medicine), CA (M.P.T.).
24Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine (P.K.W.), Tulane University School of Medicine, New Orleans, LA.
25Division of Cardiology, Department of Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL (C.W.Y.).
Abstract
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for improving the diagnosis and management of hypertension. AI technologies, including machine learning tools, could alter the way we diagnose and manage…
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