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

Journal: Hypertension research : official journal of the Japanese Society of Hypertension
PMID:

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.

Authors

  • Toshiki Maeda
    Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan. tmaeda@fukuoka-u.ac.jp.
  • Yuki Sakamoto
    Rist Inc., Kyoto, Japan.
  • Satoshi Hosoki
    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.
  • Atsushi Satoh
    Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
  • Rie Koyoshi
    Division of Medical Safety Management, Fukuoka University Hospital, Fukuoka, Japan.
  • Sumiyo Yamashita
    Department of Cardiology, Nagoya City University Mirai Kousei Hospital, Nagoya, Japan.
  • Hisatomi Arima
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.