Abstract:The application of artificial intelligence (AI) and machine learning develops new pathways and new modalities for the diagnosis and treatment of hypertension. This paper reviews the progress of AI applied in aspects of hypertension prediction, assessment, and assistance for treatment decisionmaking. In terms of hypertension prediction, AI could build hypertension risk prediction models based on traditional hypertension risk factors combined with imaging, genomics and other factors, which improves the early diagnosis rate of hypertension. The AI expert system identifies complex etiology of hypertension, which makes up for the limitations of clinicians in diagnosis. In terms of hypertension assessment, the prediction model of hypertension complication constructed by AI could predict complications in the heart and the brain blood vessel, and screen out highrisk population for early intervention. In terms of hypertension treatment, the application of clinical decisionmaking model, drug factor analysis model, monitoring and early warning system, humancomputer interaction, etc. could improve the accuracy, timeliness and patient compliance of hypertension treatment, and assist clinicians in making optimal treatment decisions. The exploration of AI in the field of hypertension diagnosis and treatment has established a new model for the chronic disease management of hypertension.
王立娜,雷警输,谭琛. 人工智能在高血压诊治中的应用[J]. 实用心电学杂志, 2022, 31(6): 386-391.
WANG Lina, LEI Jingshu, TAN Chen. Application of artificial intelligence in diagnosis and treatment of hypertension. JOURNAL OF PRACTICAL ELECTROCARDIOLOGY, 2022, 31(6): 386-391.