The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance
Abstract
Nonhuman "Authors" and Implications for the Integrity of Scientific Publication and Medical Knowledge
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
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
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
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
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
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
Flanagin, A., Bibbins-Domingo, K., Berkwits, M., & Christiansen, S. L. (2023) · JAMA · doi:10.1001/jama.2023.1344 · Cited by 420
Self-citationHernandez-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
Research works printed but not linked: 1
- Instructions for Authors. Accessed March 4, 2024. https://jamanetwork.com/journals/jama/pages/instructions-for-authors
Cited by
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
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
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
Metadata
- Authors
- Flanagin, A., Pirracchio, R., Khera, R., Berkwits, M., Hswen, Y., & Bibbins-Domingo, K.
- Affiliations
- Executive Managing Editor, JAMA and JAMA Network
- University of California, San Francisco (US)
- Yale University (US)
- JAMA and JAMA Network
- Editor in Chief, JAMA and JAMA Network
- Corresponding author
- Flanagin, Annette
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2024-04-02
- Volume
- 331
- Issue
- 13
- Pages
- 1096
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4392563403
- Cited by
- 103
- References
- 25
- Citations by year
- 2026: 46 · 2025: 43 · 2024: 14
- FWCI
- 40.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Library and Information Sciences › Academic Writing and Publishing
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence, AI-generated content, authorship, scientific integrity, scholarly publishing, research reporting, medical knowledge
- MeSH terms
- Publishing, Biomedical Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance. https://app.cochat.ai/papers/10.1001/jama.2024.3471
- The paper
- Flanagin, A., Pirracchio, R., Khera, R., Berkwits, M., Hswen, Y., & Bibbins-Domingo, K. (2024). Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance. JAMA. https://doi.org/10.1001/jama.2024.3471
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
