ChatGPT Answers Common Patient Questions About Colonoscopy
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ChatGPT (OpenAI) is a 175 billion–parameter large language model (LLM) artificial intelligence (AI) that was released in November 2022. ChatGPT is developed based on the generative pretrained transformer (GPT) 3.5 natural language processing technology and provides a conversational text response to a given prompt.1
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LLMMs have achieved significant advancements in various application scenarios, and the implementation of LLMMs provides critical insights for various parties within healthcare providers and patients.
“LLMMs have achieved significant advancements in various application scenarios, the implementation of LLMMs provides critical insights for various parties within healthcare providers and patients.”
From Large language models in medical and healthcare fields: applications, advances, and challenges (2024) · cites this paper as Lee et al. 2023
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Pellegrino, R., Federico, A., & Gravina, A. G. (2024) · Diagnostics · doi:10.3390/diagnostics14222537 · Cited by 8 · see citing works
Gorris, M. A., Randle, R. W., Obermiller, C. S., Thomas, J., Toro-Tobón, D., Dream, S. Y., Fackelmayer, O. J., Pandian, T. K., & Mayson, S. E. (2025) · Journal of the Endocrine Society · doi:10.1210/jendso/bvaf003 · Cited by 7 · see citing works
Ketchem, C. J., Lynch, K. L., Chang, J. W., & Dellon, E. S. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2023.10.004 · Cited by 7 · see citing works
Forte, G., Mauro, D., Raimondi, M., Pantano, I., Gandolfo, S., Cauli, A., Guggino, G., Lubrano, E., Guiducci, S., Chimenti, M. S., et al. (2025) · Annals of the Rheumatic Diseases · doi:10.1016/j.ard.2025.11.012 · Cited by 6 · see citing works
Tulgar, S., Aksu, C., Selvi, O., Sultan, P., Dogan, A. T., Yörükoğlu, H. U., Thomas, D. T., & Ahişkalıoğlu, A. (2026) · BMC Anesthesiology · doi:10.1186/s12871-025-03596-9 · Cited by 6 · see citing works
Generative artificial intelligence for patient education material on gastric cancer prevention
Rizkala, T., Münch, N. S., Hassan, C., Dinis-Ribeiro, M. J., & Generative AI Working Group (2026) · Endoscopy · doi:10.1055/a-2780-0664 · Cited by 6 · see citing works
Assessment of ChatGPT generated educational material for head and neck surgery counseling
Mnajjed, L., & Patel, R. J. (2024) · American Journal of Otolaryngology · doi:10.1016/j.amjoto.2024.104410 · Cited by 6 · see citing works
Král, J., Hradiš, M., Bužga, M., & Kunovský, L. (2024) · Biomedical Papers · doi:10.5507/bp.2024.027 · Cited by 6 · see citing works
Jain, S., Chakraborty, B., Agarwal, A., & Sharma, R. (2025) · Cureus · doi:10.7759/cureus.81618 · Cited by 6 · see citing works
Calabrese, G., Maselli, R., Maida, M., Barbaro, F., Morais, R., Nardone, O. M., Sinagra, E., Di Mitri, R., & Sferrazza, S. (2025) · iGIE · doi:10.1016/j.igie.2025.01.012 · Cited by 5 · see citing works
Advancing Healthcare with Large Language Models: Techniques and Application
Hu, Z., Peng, Z., Bi, Z., Shen, Q., Liu, Z., Lou, J., & Luo, X. (2025) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2025.125540 · Cited by 5 · see citing works
Wei, L., Mohammed, I. S. K., Francomacaro, S. E., & Munir, W. M. (2023) · Journal of Cataract & Refractive Surgery · doi:10.1097/j.jcrs.0000000000001288 · Cited by 5 · see citing works
Günay, S., Yiğit, Y., Halhallı, H. C., Tulgar, S., Alkahlout, B. H., & Azad, A. M. (2024) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2023.12.047 · Cited by 5 · see citing works
Integrating Clinical Guidelines With ChatGPT-4 Enhances Its’ Skills
Tariq, R., Voth, E. R., & Khanna, S. (2024) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2024.02.004 · Cited by 5 · see citing works
Gadde, P., Poornima, U. L. S., Akkaloori, A., & Bharathi, V. (2024) · Journal of Nature and Science of Medicine · doi:10.4103/jnsm.jnsm_208_23 · Cited by 5 · see citing works
Weber, V., Truelove, A., Gohari, S. S., Wynne, L. A., Kearns, R. J., & O’Carroll, J. (2025) · International Journal of Obstetric Anesthesia · doi:10.1016/j.ijoa.2025.104344 · Cited by 5 · see citing works
Martínez, M., Bartel, M. J., Chua, T. Y., Dakhoul, L., Fatima, H., Jensen, D., Lara, L. F., Tadros, M., Villa, E. C., Yang, D. J., et al. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.05.002 · Cited by 5 · see citing works
Enhancing diagnostics: ChatGPT-4 performance in ulcerative colitis endoscopic assessment
Levartovsky, A., Albshesh, A., Grinman, A. B., Shachar, E., Lahat, A., Eliakim, R., & Kopylov, U. (2025) · Endoscopy International Open · doi:10.1055/a-2542-0943 · Cited by 4 · see citing works
Liu, J., Qiu, Y., Liu, Y., Xu, W., Ning, W., Shi, P., Yuan, Z.-L., Wang, F., & Shi, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/58855 · Cited by 4 · see citing works
- Authors
- Lee, T.-C., Staller, K., Botoman, V., Pathipati, M. P., Varma, S., & Kuo, B.
- Affiliations
- Taipei Medical University-Shuang Ho Hospital (TW)
- Harvard University (US)
- Corresponding author
- Kuo, Braden
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 165
- Issue
- 2
- Pages
- 509-511.e7
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W4372231834
- Cited by
- 146
- References
- 9
- Citations by year
- 2026: 12 · 2025: 40 · 2024: 63 · 2023: 31
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Gastroenterology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (K23 DK120945)
- Foundation for the National Institutes of Health
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Keywords
- ChatGPT, large language models, colonoscopy, patient education, artificial intelligence, natural language processing, conversational AI
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.
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