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DOI 10.1161/hypertensionaha.124.22349

Медицинская библиотека · Hypertension (Dallas, Tex. : 1979) · 2025

Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.

Armoundas Antonis A, Ahmad Faraz S, Attia Zachi I, Doudesis Dimitrios, Khera Rohan, Kyriakoulis Konstantinos G, Stergiou George S, Tang W H Wilson

СтатьяОбзорПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

Hypertension presents the largest modifiable public health challenge due to its high prevalence, its intimate relationship to cardiovascular diseases, and its complex pathogenesis and pathophysiology. Low awareness of blood pressure elevation and suboptimal hypertension diagnosis serve as the major hurdles in effective hypertension management. Advances in artificial intelligence in hypertension have permitted the integrative analysis of large data sets including omics, clinical (with novel sensor and wearable technologies), health-related, social, behavioral, and environmental sources, and hold transformative potential in achieving large-scale, data-driven approaches toward personalized diagnosis, treatment, and long-term management. However, although the emerging artificial intelligence science may advance the concept of precision hypertension in discovery, drug targeting and development, patient care, and management, its clinical adoption at scale today is lacking. Recognizing that clinical implementation of artificial intelligence-based solutions need evidence generation, this opinion statement examines a clinician-centric perspective of the state-of-art in using artificial intelligence in the management of hypertension and puts forward recommendations toward equitable precision hypertension care.

Для цитирования: Armoundas Antonis A, Ahmad Faraz S, Attia Zachi I, Doudesis Dimitrios, Khera Rohan, Kyriakoulis Konstantinos G, Stergiou George S, Tang W H Wilson. Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.. Hypertension (Dallas, Tex. : 1979). 2025. DOI: 10.1161/hypertensionaha.124.22349.

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