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

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
  4. Mishra P, Kaur P. Future-Ready Technologies for Sensing The Stemness of Circulating Tumor Cells. Nanomedicine 2023;18(20):1327 View
  5. Solarte-Pabón O, Montenegro O, García-Barragán A, Torrente M, Provencio M, Menasalvas E, Robles V. Transformers for extracting breast cancer information from Spanish clinical narratives. Artificial Intelligence in Medicine 2023;143:102625 View
  6. Wang Y, Zhang R, Yang Q, Zhou Q, Zhang S, Fan Y, Huang L, Li K, Zhou F. FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records. Information Processing & Management 2024;61(3):103682 View
  7. Zhao Y, Li X, Zhou C, Peng H, Zheng Z, Chen J, Ding W. A review of cancer data fusion methods based on deep learning. Information Fusion 2024;108:102361 View
  8. Moulson R, Law J, Sacher A, Liu G, Shepherd F, Bradbury P, Eng L, Iczkovitz S, Abbie E, Elia-Pacitti J, Ewara E, Mokriak V, Weiss J, Pettengell C, Leighl N. Real-World Outcomes of Patients with Advanced Epidermal Growth Factor Receptor-Mutated Non-Small Cell Lung Cancer in Canada Using Data Extracted by Large Language Model-Based Artificial Intelligence. Current Oncology 2024;31(4):1947 View
  9. Boas P, Vieira L, Silva Júnior G, Lira G, Oliveira J. Implementation and use of electronic patient records in the Brazilian Air Force: a cross-sectional study1. Revista da Associação Médica Brasileira 2024;70(4) View
  10. Tansitpong P. Optimizing Cancer Patient Classification Forecasting With Bayesian Pattern Recognition. International Journal of Healthcare Information Systems and Informatics 2024;19(1):1 View
  11. García-Barragán Á, Sakor A, Vidal M, Menasalvas E, Gonzalez J, Provencio M, Robles V. NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes. Medical & Biological Engineering & Computing 2024 View