Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report

Daichi Shimbo*, Rashmee U. Shah, Marwah Abdalla, Ritu Agarwal, Faraz S. Ahmad, Gabriel Anaya, Zachi I. Attia, Sheana Bull, Alexander R. Chang, Yvonne Commodore-Mensah, Keith Ferdinand, Kensaku Kawamoto, Rohan Khera, Jane Leopold, James Luo, Sonya Makhni, Bobak J. Mortazavi, Young S. Oh, Lucia C. Savage, Erica S. SpatzGeorge Stergiou, Mintu P. Turakhia, Paul K. Whelton, Clyde W. Yancy, Erin Iturriaga

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

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 hypertension, with potential impacts for improving individual and population health. The development of successful AI tools in public health and health care systems requires diverse types of expertise with collaborative relationships between clinicians, engineers, and data scientists. Unbiased data sources, management, and analyses remain a foundational challenge. From a diagnostic standpoint, machine learning tools may improve the measurement of blood pressure and be useful in the prediction of incident hypertension. To advance the management of hypertension, machine learning tools may be useful to find personalized treatments for patients using analytics to predict response to antihypertension medications and the risk for hypertension-related complications. However, there are real-world implementation challenges to using AI tools in hypertension. Herein, we summarize key findings from a diverse group of stakeholders who participated in a workshop held by the National Heart, Lung, and Blood Institute in March 2023. Workshop participants presented information on communication gaps between clinical medicine, data science, and engineering in health care; novel approaches to estimating BP, hypertension risk, and BP control; and real-world implementation challenges and issues.

Original languageEnglish (US)
JournalHypertension
DOIs
StateAccepted/In press - 2024

Funding

The proceedings of the workshop, \u201CTransforming Hypertension Diagnosis and Management in the Era of Artificial Intelligence,\u201D were supported through funds provided by National Heart, Lung, and Blood Institute (NHLBI).

Keywords

  • artificial intelligence
  • blood pressure
  • delivery of health care
  • hypertension
  • machine learning

ASJC Scopus subject areas

  • Internal Medicine

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