[Artificial intelligence in hypertension: where do we stand?].

Authors

Paolo Verdecchia, Fabio Angeli, Gianpaolo Reboldi

Published in

Giornale italiano di cardiologia (2006). Volume 27. Issue 8. Pages 533-538.

Abstract

Artificial intelligence (AI) is entering the study of hypertension, serving both primarily clinical purposes - to assist practicing physicians - and research objectives. Hypertension presents certain specific characteristics that should be carefully considered when using AI. The measured value of blood pressure is an extremely variable parameter that is difficult to standardize and measure with precision. At present, AI is able to provide very simple, clear, and well-documented answers to clinical questions regarding the management of patients with hypertension. Its role in research is perhaps somewhat less well developed. Several studies have been published on the use of AI in identifying patients with secondary hypertension, on the risk of future hypertension in normotensive individuals, and on the risk of heart failure and other complications of hypertension. A common issue with all these studies is the relative paucity of controlled clinical trials comparing AI with traditional procedures drawing on medical literature and clinical experience ("natural intelligence"), precisely designed to quantify the potential superiority of AI over natural intelligence on key end-points of real clinical value. This is similar to the approach currently taken when testing a new diagnostic or therapeutic procedure. Obviously, these considerations should be viewed as encouragement, not as a barrier, to continuing clinical research in the field of AI in hypertension. It is also important that scientific articles on AI published in medical journals be written using terms that doctors can understand, to ensure transparency and interpretability.

PMID:
42522432
Bibliographic data and abstract were imported from PubMed on 29 Jul 2026.

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