reviewCell Reports MedicineFeb 1, 2024GOLD OA

Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture

ZLZhen Ling TeoLJLiyuan JinNLNan LiuSLSiqi LiDMDi Miao

Singapore National Eye Center · Singapore Eye Research Institute · +4 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By conducting a systematic review of FL applications in healthcare, we identify relevant articles in scientific, engineering, and medical journals in English up to August 31st, 2023. Out of a total of 22,693 articles under review, 612 articles are included in the final analysis. The majority of articles are proof-of-concepts studies, and only 5.2% are studies with real-life application of FL. Radiology and internal medicine are the most common specialties involved in FL. FL is robust to a variety of machine learning models and data types, with neural networks…

Citation impact

159
total citations
FWCI
16.92
Percentile
100%
References
39
Citations per year

Authors

14

Topics & keywords

Topics
Keywords
  • Health care
  • Architecture
  • Computer science
  • Artificial intelligence
  • Political science
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