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

Artificial Intelligence (2202) Clinical Information and Decision Making (1960) Computer-Aided Diagnosis (262) Applications of AI (301) Ethical, Legal, and Social Issues in AI (109)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53892, first published .
Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study

Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study

Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study

Authors of this article:

Bernardo Pereira Cabral1, 2 Author Orcid Image ;   Luiza Amara Maciel Braga1 Author Orcid Image ;   Carlos Gilbert Conte Filho3 Author Orcid Image ;   Bruno Penteado4 Author Orcid Image ;   Sandro Luis Freire de Castro Silva5, 6 Author Orcid Image ;   Leonardo Castro4, 7 Author Orcid Image ;   Marcelo Fornazin4, 7 Author Orcid Image ;   Fabio Mota1 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

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  3. Penteado B, Fornazin M, Castro L, Rachid R, Gonçalves L, Falcão M. The implications of artificial intelligence in clinical healthcare: a scoping review on regulatory challenges up to 2023. Health and Technology 2025;15(6):995 View
  4. Popelnukha A, Dmytriiev D. AI-assisted pain monitoring: evaluation of pain, analgesics use, and opioid dose trends in combat-related trauma patients. EMERGENCY MEDICINE 2025;21(6):578 View
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  9. Valles-Coral M, Pinedo L, Rodríguez C, Rodríguez D, Sánchez-Dávila K, Arévalo-Fasanando L, Reátegui-Lozano N. Application of artificial intelligence in cervical cytology: a systematic review of deep learning models, datasets, and reported metrics. Frontiers in Big Data 2026;8 View
  10. Borges F, Machado G, Santana M, Sancho K, França G, Santos W, Siqueira C. LLM-Assisted Scoping Review of Artificial Intelligence in Brazilian Public Health: Lessons from Transfer and Federated Learning for Resource-Constrained Settings. International Journal of Environmental Research and Public Health 2026;23(1):81 View
  11. Faratisha I, Yunita K, Rahmawati H, Fitri L, Winaris N, Muflikah L. Diagnostic Accuracy of Utilizing Artificial Intelligence for Malaria Diagnostic: A Systematic Review and Meta-Analysis. Infectious Disease Reports 2026;18(1):11 View