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

Formative Evaluation of Digital Health Interventions (3229) Artificial Intelligence (2129) Adoption and Change Management of eHealth Systems (894) Machine Learning (2076) User Needs and Competencies (456) Usability of Apps and User Perceptions of mHealth (1188) Clinical Information and Decision Making (1915)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53918, first published .
Chinese Oncologists’ Perspectives on Integrating AI into Clinical Practice: Cross-Sectional Survey Study

Chinese Oncologists’ Perspectives on Integrating AI into Clinical Practice: Cross-Sectional Survey Study

Chinese Oncologists’ Perspectives on Integrating AI into Clinical Practice: Cross-Sectional Survey Study

Authors of this article:

Ming Li1 Author Orcid Image ;   XiaoMin Xiong2 Author Orcid Image ;   Bo Xu2, 3 Author Orcid Image ;   Conan Dickson1 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Alsaedi A, Alneami N, Almajnoni F, Alamri O, Aljohni K, Alrwaily M, Eid M, Budayr A, Alrehaili M, Alghamdi M, Almutairi E, Eid M. Perceived Worries in the Adoption of Artificial Intelligence Among Healthcare Professionals in Saudi Arabia: A Cross-Sectional Survey Study. Nursing Reports 2024;14(4):3706 View
  2. Mejza M, Bajer A, Wanibuchi S, Małecka-Wojciesko E. Can AI Be Useful in the Early Detection of Pancreatic Cancer in Patients with New-Onset Diabetes?. Biomedicines 2025;13(4):836 View
  3. Qi Y, Mohamad E, Azlan A, Zhang C. Utilization of artificial intelligence in clinical practice: A systematic review of China's experiences. DIGITAL HEALTH 2025;11 View
  4. Froicu E, Creangă-Murariu I, Afrăsânie V, Gafton B, Alexa-Stratulat T, Miron L, Pușcașu D, Poroch V, Bacoanu G, Radu I, Marinca M. Artificial Intelligence and Decision-Making in Oncology: A Review of Ethical, Legal, and Informed Consent Challenges. Current Oncology Reports 2025;27(8):1002 View
  5. Zeng L, Li Q, Zuo Y, Zhang Y, Li Z. Perceptions and Attitudes of Chinese Oncologists Toward Endorsing AI-Driven Chatbots for Health Information Seeking Among Patients with Cancer: Phenomenological Qualitative Study. Journal of Medical Internet Research 2025;27:e71418 View
  6. Alsaedi A, Haddad M, Khinkar R, Alsharif S, Elbashir A, Alghamdi A. Ethical and Practical Considerations of Physicians and Nurses on Integrating Artificial Intelligence in Clinical Practices in Saudi Arabia: A Cross-Sectional Study. Nursing Reports 2025;15(9):309 View
  7. Taherikia S, Firouzjaeian Galougah A, Ahmadi Lashkenari M, Lotfi S. Perspectives of Gynecologic Oncologists on AI for Women’s Cancers in Low-Resource Settings: A Survey in Iran. InfoScience Trends 2025;2(8):1 View
  8. Lu W, Tang X, Huang C, Wei M, Bai C, Fan X, Wu D. Diagnostic accuracy of traditional and deep learning methods for detecting depression based on speech features: a systematic review and meta-analysis. BMC Psychiatry 2025 View