Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., et al. (2016) · JAMA · doi:10.1001/jama.2016.17216 · Cited by 7,697

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): a guide for authors and reviewers

Mongan, J., Moy, L., & Kahn, C. E. (2020) · Radiology: Artificial Intelligence · doi:10.1148/ryai.2020200029 · Cited by 1,443

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

Collins, G. S., Dhiman, P., Andaur Navarro, C. L., Ma, J., Hooft, L., Reitsma, J. B., Logullo, P., Beam, A. L., Peng, L., Van Calster, B., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-048008 · Cited by 852

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

Liu, X., Rivera, S. C., Moher, D., Calvert, M. J., & Denniston, A. K. (2020) · BMJ · doi:10.1136/bmj.m3164 · Cited by 702

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.

Norgeot, B., Quer, G., Beaulieu-Jones, B. K., Torkamani, A., Dias, R., Gianfrancesco, M., Arnaout, R., Kohane, I. S., Saria, S., Topol, E., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1041-y · Cited by 665

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · BMJ · doi:10.1136/bmj-2022-070904 · Cited by 665

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

Rivera, S. C., Liu, X., Chan, A.-W., Denniston, A. K., & Calvert, M. J. (2020) · BMJ · doi:10.1136/bmj.m3210 · Cited by 463

Creation and Adoption of Large Language Models in Medicine

Shah, N. H., Entwistle, D., & Pfeffer, M. A. (2023) · JAMA · doi:10.1001/jama.2023.14217 · Cited by 435

Nonhuman “Authors” and Implications for the Integrity of Scientific Publication and Medical Knowledge

Flanagin, A., Bibbins-Domingo, K., Berkwits, M., & Christiansen, S. L. (2023) · JAMA · doi:10.1001/jama.2023.1344 · Cited by 420

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.

Hernandez-Boussard, T., Bozkurt, S., Ioannidis, J. P. A., & Shah, N. H. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa088 · Cited by 410

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-047709 · Cited by 333

Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening

Wong, T. Y., & Bressler, N. M. (2016) · JAMA · doi:10.1001/jama.2016.17563 · Cited by 279

Recommendations for Reporting Machine Learning Analyses in Clinical Research

Stevens, L. M., Mortazavi, B. J., Deo, R. C., Curtis, L., & Kao, D. P. (2020) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.120.006556 · Cited by 268

Translating Artificial Intelligence Into Clinical Care

Beam, A. L., & Kohane, I. S. (2016) · JAMA · doi:10.1001/jama.2016.17217 · Cited by 238

Automation Bias and Assistive AI: Risk of Harm From AI-Driven Clinical Decision Support

Khera, R., Simon, M. A., & Ross, J. S. (2023) · JAMA · doi:10.1001/jama.2023.22557 · Cited by 222

Three Epochs of Artificial Intelligence in Health Care

Howell, M. D., Corrado, G. S., & DeSalvo, K. B. (2024) · JAMA · doi:10.1001/jama.2023.25057 · Cited by 185

Guidance for Authors, Peer Reviewers, and Editors on Use of AI, Language Models, and Chatbots

Flanagin, A., Kendall-Taylor, J., & Bibbins-Domingo, K. (2023) · JAMA · doi:10.1001/jama.2023.12500 · Cited by 143

AI in Medicine—JAMA’s Focus on Clinical Outcomes, Patient-Centered Care, Quality, and Equity

Khera, R., Butte, A. J., Berkwits, M., Hswen, Y., Flanagin, A., Park, H., Curfman, G., & Bibbins-Domingo, K. (2023) · JAMA · doi:10.1001/jama.2023.15481 · Cited by 78

ChatGPT: standard reporting guidelines for responsible use

Cacciamani, G. E., Collins, G. S., & Gill, I. S. (2023) · Nature · doi:10.1038/d41586-023-01853-w · Cited by 56

Preparing Clinicians for a Clinical World Influenced by Artificial Intelligence

James, C. A., Wachter, R. M., & Woolliscroft, J. O. (2022) · JAMA · doi:10.1001/jama.2022.3580 · Cited by 48

Data Sharing and the Growth of Medical Knowledge

Flanagin, A., Curfman, G., & Bibbins-Domingo, K. B. (2022) · JAMA · doi:10.1001/jama.2022.22837 · Cited by 47

Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice

Collaborative, T. C. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081155 · Cited by 34

New AI Tools Must Have Health Equity in Their DNA

Hswen, Y., & Voelker, R. (2023) · JAMA · doi:10.1001/jama.2023.19293 · Cited by 16

How Do Policymakers Regulate AI and Accommodate Innovation in Research and Medicine?

Suran, M., & Hswen, Y. (2023) · JAMA · doi:10.1001/jama.2023.22625 · Cited by 6

Google Health’s Chief Clinical Officer Talks About Incorporating AI in Health Care

Voelker, R. (2023) · JAMA · doi:10.1001/jama.2023.19137 · Cited by 3

A systematic review of the impact of artificial intelligence on educational outcomes in health professions education

Feigerlova, E., Hani, H., & Hothersall-Davies, E. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06719-5 · Cited by 166

Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses

Luo, X., Chen, F., Zhu, D., Wang, L., Wang, Z., Liu, H., Lyu, M., Wang, Y., Wang, Q., & Chen, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/56780 · Cited by 101

Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement

Luo, X., Tham, Y. C., Giuffrè, M., Ranisch, R., Daher, M., Lam, K., Eriksen, A. V., Hsu, C.-W., Ozaki, A., Moraes, F. Y. D., et al. (2025) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2025-113825 · Cited by 97

Reporting guidelines for chatbot health advice studies: explanation and elaboration for the Chatbot Assessment Reporting Tool (CHART)

Collaborative, T. C. (2025) · BMJ · doi:10.1136/bmj-2024-083305 · Cited by 62

ChatGPT-4o can serve as the second rater for data extraction in systematic reviews

Motzfeldt Jensen, M., Brix Danielsen, M., Riis, J., Assifuah Kristjansen, K., Andersen, S., Okubo, Y., & Jørgensen, M. G. (2025) · PLOS ONE · doi:10.1371/journal.pone.0313401 · Cited by 60

Guidance for Authors, Peer Reviewers, and Editors on Use of AI, Language Models, and Chatbots

Flanagin, A., Kendall-Taylor, J., & Bibbins-Domingo, K. (2023) · JAMA · doi:10.1001/jama.2023.12500 · Cited by 143

Artificial Intelligence in scientific writing: Responsibility, transparency, and the future of authorship

Bhangu, A. (2025) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.19237319

Nonhuman “Authors” and Implications for the Integrity of Scientific Publication and Medical Knowledge

Flanagin, A., Bibbins-Domingo, K., Berkwits, M., & Christiansen, S. L. (2023) · JAMA · doi:10.1001/jama.2023.1344 · Cited by 420

Implications of Nonhuman “Authors”

Uzoigwe, C. E. (2023) · JAMA · doi:10.1001/jama.2023.10571

AI Is Changing the Landscape of Academic Writing: What Can Be Done? Authors’ Reply to: AI Increases the Pressure to Overhaul the Scientific Peer Review Process. Comment on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened”

Májovský, M., Mikolov, T., & Netuka, D. (2023) · Journal of Medical Internet Research · doi:10.2196/50844 · Cited by 15