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Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review

Hypertension Research volume 47, pages 2312–2316 (2024)Cite this article

Abstract

Although artificial intelligence (AI) is considered to be a promising tool, evidence for the effectiveness of AI-supported clinical practice for lowering blood pressure (BP) in the real world is scarce. We conducted a systematic review to elucidate whether AI-supported clinical care improves BP control. We identified two randomized control trials (RCTs) in a literature search. The results revealed no significant difference between AI-supported care and usual care in a random-effects model meta-analysis of RCTs (AI vs. usual care: systolic/diastolic BP difference: −2.13 [95% confidence interval: −4.72 to 0.46] / −1.03 [−2.52 to 0.46]). In this review, we were unable to clarify whether AI-supported clinical practice improved BP control compared with usual care. Further studies will be needed to provide robust evidence for the effectiveness of AI-supported care in clinical settings.

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Funding

Funding

This research was supported by Japan Agency for Medical Research and Development (AMED) (Grant Number 22rea522002h0001).

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Authors and Affiliations

  1. Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan

    Toshiki Maeda, Atsushi Satoh & Hisatomi Arima

  2. Department of Neurology, Nippon Medical School, Tokyo, Japan

    Yuki Sakamoto

  3. Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia

    Satoshi Hosoki

  4. Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan

    Satoshi Hosoki

  5. Division of Medical Safety Management, Fukuoka University Hospital, Fukuoka, Japan

    Rie Koyoshi

  6. Department of Cardiology, Nagoya City University Mirai Kousei Hospital, Nagoya, Japan

    Sumiyo Yamashita

Authors
  1. Toshiki Maeda
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  2. Yuki Sakamoto
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  4. Atsushi Satoh
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  7. Hisatomi Arima
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Correspondence to Toshiki Maeda.

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Maeda, T., Sakamoto, Y., Hosoki, S. et al. Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review. Hypertens Res 47, 2312–2316 (2024). https://doi.org/10.1038/s41440-024-01771-y

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