This paper is in the following e-collection/theme issue:

Reviews (62) Electronic Health Records (810) Clinical Information and Decision Making (950) Artificial Intelligence (717) Innovations and Technology in Cancer Care (304)

Published on in Vol 10 , No 4 (2022) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33799, first published .
Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review

Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review

Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review

Authors of this article:

Xinyu Yang 1, 2 Author Orcid Image ;   Dongmei Mu 1, 2 Author Orcid Image ;   Hao Peng 1, 2 Author Orcid Image ;   Hua Li 1, 2 Author Orcid Image ;   Ying Wang 1, 2 Author Orcid Image ;   Ping Wang 1, 2 Author Orcid Image ;   Yue Wang 1, 2 Author Orcid Image ;   Siqi Han 1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Ding R, Ye M, Zhu Y, Zhao Y, Liu Q, Cao Y, Xu J. Toward Dynamic Detection of Circulating Tumor Cells Exploiting Specific Molecular Recognition Elements. Chemosensors 2023;11(2):99 View
  2. Tricco A, Hezam A, Parker A, Nincic V, Harris C, Fennelly O, Thomas S, Ghassemi M, McGowan J, Paprica P, Straus S. Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review. BMJ Open 2023;13(2):e065845 View
  3. Goh C. Will digitization, big data and artificial intelligence– and deep learning–based algorithm govern the practice of medicine?. Journal of the European Academy of Dermatology and Venereology 2022;36(7):947 View