Appropriateness of breast cancer prevention and screening recommendations provided by ChatGPT
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The findings of mixed performance align with similar reports of mixed performance across different tasks and clinical text datasets within cancer type-specific domains.
“These findings align with similar reports of mixed performance across different tasks and clinical text datasets within cancer type-specific domains [45-47]”
From Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review (2025) · cites this paper as [47]
Cites
ChatGPT and other large language models are double-edged swords
Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023) · Radiology · doi:10.1148/radiol.230163 · Cited by 1,008 · see citing works
Sarraju, A., Bruemmer, D., Iterson, E. H. V., Cho, L., Rodríguez, F., & Laffin, L. J. (2023) · JAMA · doi:10.1001/jama.2023.1044 · Cited by 455 · see citing works
ChatGPT is shaping the future of medical writing but still requires human judgment
Kitamura, F. C. (2023) · Radiology · doi:10.1148/radiol.230171 · Cited by 317 · see citing works
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Large language models propagate race-based medicine
Omiye, J. A., Lester, J. C., Spichak, S., Rotemberg, V., & Daneshjou, R. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00939-z · Cited by 417 · see citing works
Large Language Models for Chatbot Health Advice Studies: A Systematic Review
Huo, B., Boyle, A., Marfo, N., Tangamornsuksan, W., Steen, J. P., McKechnie, T., Lee, Y., Mayol, J., Antoniou, S. A., Thirunavukarasu, A. J., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.57879 · Cited by 283 · see citing works
Artificial intelligence in surgery
Varghese, C., Harrison, E. M., O’Grady, G., & Topol, E. J. (2024) · Nature Medicine · doi:10.1038/s41591-024-02970-3 · Cited by 287 · see citing works
A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges
Nazir, A., & Wang, Z. (2023) · Meta-Radiology · doi:10.1016/j.metrad.2023.100022 · Cited by 245 · see citing works
Sohail, S. S., Farhat, F., Himeur, Y., Nadeem, M., Madsen, D. Ø., Singh, Y., Atalla, S., & Mansoor, W. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.101675 · Cited by 192 · see citing works
“Some have also asked questions based on their extensive understanding of various fields, including parasitology Huh (2023b), Šlapeta (2023), clinical diagnosis Hirosawa et al. (2023), environmental sciences Rillig et al.”
Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy
Gertz, R. J., Dratsch, T., Bunck, A. C., Lennartz, S., Iuga, A.-I., Hellmich, M. G., Persigehl, T., Pennig, L., Gietzen, C. H., Fervers, P., et al. (2024) · Radiology · doi:10.1148/radiol.232714 · Cited by 143 · see citing works
Performance of Large Language Models on Medical Oncology Examination Questions
Longwell, J. B., Hirsch, I., Binder, F., Gonzalez Conchas, G. A., Mau, D., Jang, R., Krishnan, R. G., & Grant, R. C. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.17641 · Cited by 81 · see citing works
Truhn, D., Weber, C. D., Braun, B. J., Bressem, K., Kather, J. N., Kuhl, C., & Nebelung, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-47500-2 · Cited by 71 · see citing works
Exploring the Usage of ChatGPT Among Medical Students in the United States
Zhang, J. S., Yoon, C., Williams, D. K. A., & Pinkas, A. (2024) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205241264695 · Cited by 75 · see citing works
Gianola, S., Bargeri, S., Castellini, G., Cook, C., Palese, A., Pillastrini, P., Salvalaggio, S., Turolla, A., & Rossettini, G. (2024) · Journal of Orthopaedic & Sports Physical Therapy · doi:10.2519/jospt.2024.12151 · Cited by 62 · see citing works
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
Chen, D., Alnassar, S. A., Avison, K. E., Huang, R. S., & Raman, S. (2025) · JMIR Cancer · doi:10.2196/65984 · Cited by 66 · see citing works
“These findings align with similar reports of mixed performance across different tasks and clinical text datasets within cancer type-specific domains [45-47], highlighting the need for systematic benchmarks to assess LLM data extraction reliability and domain-specific limitations.”
Translating musculoskeletal radiology reports into patient-friendly summaries using ChatGPT-4
Kuckelman, I. J., Wetley, K., Yi, P. H., & Ross, A. B. (2024) · Skeletal Radiology · doi:10.1007/s00256-024-04599-2 · Cited by 58 · see citing works
Self-citationEvaluation of ChatGPT and Google Bard using prompt engineering in cancer screening algorithms
Nguyen, D., Swanson, D., Newbury, A., & Kim, Y. H. (2024) · Academic Radiology · doi:10.1016/j.acra.2023.11.002 · Cited by 38 · see citing works
Meddeb, A., Ebert, P., Bressem, K. K., Desser, D., Dell'Orco, A., Bohner, G., Kleine, J. F., Siebert, E., Grauhan, N., Brockmann, M. A., et al. (2025) · Journal of NeuroInterventional Surgery · doi:10.1136/jnis-2024-022078 · Cited by 27 · see citing works
Alanezi, F. (2025) · Nutrition and Health · doi:10.1177/02601060241244563 · Cited by 24 · see citing works
Wada, A., Akashi, T., Shih, G., Hagiwara, A., Nishizawa, M., Hayakawa, Y., Kikuta, J., Shimoji, K., Sano, K., Kamagata, K., et al. (2024) · Diagnostics · doi:10.3390/diagnostics14141541 · Cited by 25 · see citing works
Evaluating GPT-4-based ChatGPT’s Clinical Potential on the NEJM Quiz
Ueda, D., Walston, S. L., Matsumoto, T., Deguchi, R., Tatekawa, H., & Miki, Y. (2023) · doi:10.1101/2023.05.04.23289493 · Cited by 45 · see citing works
Devranoglu, B., Gurbuz, T., & Gokmen, O. (2024) · Diagnostics · doi:10.3390/diagnostics14111082 · Cited by 15 · see citing works
- Authors
- Haver, H. L., Ambinder, E. B., Bahl, M., Oluyemi, E. T., Jeudy, J., & Yi, P. H.
- Affiliations
- University of Maryland, Baltimore (US)
- Venue
- Radiology
- Published
- 2023-05-01
- Volume
- 307
- Issue
- 4
- Pages
- e230424-e230424
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W4362521774
- Cited by
- 247
- References
- 3
- Citations by year
- 2026: 26 · 2025: 54 · 2024: 110 · 2023: 57
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- ChatGPT, breast cancer, cancer screening, preventive medicine, large language models
- MeSH terms
- Breast Neoplasms, Female, Humans, Early Detection of Cancer
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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.
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