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Assessing the Accuracy of Responses by the Language Model ChatGPT to Questions Regarding Bariatric Surgery
Open accessAbstract
PURPOSE: ChatGPT is a large language model trained on a large dataset covering a broad range of topics, including the medical literature. We aim to examine its accuracy and reproducibility in answering patient questions regarding bariatric surgery. MATERIALS AND METHODS: Questions were gathered from nationally regarded professional societies and health institutions as well as Facebook support groups. Board-certified bariatric surgeons graded the accuracy and reproducibility of responses. The grading scale included the following: (1) comprehensive, (2) correct but inadequate, (3) some correct and some incorrect, and (4) completely incorrect. Reproducibility was determined by asking the model each question twice and examining difference in grading category between the two responses. RESULTS: In total, 151 questions related to bariatric surgery were included. The model provided "comprehensive" responses to 131/151 (86.8%) of questions. When examined by category, the model provided "comprehensive" responses to 93.8% of questions related to "efficacy, eligibility and procedure options"; 93.3% related to "preoperative preparation"; 85.3% related to "recovery, risks, and complications"; 88.2% related to "lifestyle changes"; and 66.7% related to "other". The model provided reproducible answers to 137 (90.7%) of questions. CONCLUSION: The large language model ChatGPT often provided accurate and reproducible responses to common questions related to bariatric surgery. ChatGPT may serve as a helpful adjunct information resource for patients regarding bariatric surgery in addition to standard of care provided by licensed healthcare professionals. We encourage future studies to examine how to leverage this disruptive technology to improve patient outcomes and quality of life.
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“To evaluate accuracy and completeness, we developed a scoring system based on recommendations from LeapFrog (VTech Group), The Joint Commission, the American College of Surgeons, and relevant available literature (Multimedia Appendix 2) [21-24].”
From Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study (2025) · cites this paper as [23]
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“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 [46]
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Centers for Disease Control and Prevention
Branum, A. (2007) · Sage eBooks · doi:10.4135/9781412952644.n74 · Cited by 6,434
Training language models to follow instructions with human feedback
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022) · arXiv · doi:10.48550/arxiv.2203.02155 · Cited by 4,208
Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078
Benefits and Risks of Bariatric Surgery in Adults: A Review
Arterburn, D. E., Telem, D. A., Kushner, R. F., & Courcoulas, A. P. (2020) · JAMA · doi:10.1001/jama.2020.12567 · Cited by 1,251
Yeo, Y. H., Samaan, J. S., Ng, W. H., Ting, P., Trivedi, H. D., Vipani, A., Ayoub, W. S., Yang, J. D., Liran, O., Spiegel, B. M. R., et al. (2023) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2023.0089 · Cited by 669
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O’Connor, S., & ChatGPT (2023) · Nurse Education in Practice · doi:10.1016/j.nepr.2022.103537 · Cited by 585
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 466
Theiss, L. M., Wood, T. E., McLeod, M. C., Shao, C. C., Marques, I. C. D. S., Bajpai, S., Lopez, E., Duong, A. M., Hollis, R. H., Morris, M. S., et al. (2021) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2021.10.024 · Cited by 87
Daily briefing: will ChatGPT kill the essay assignment?
Graham, F. (2022) · Nature · doi:10.1038/d41586-022-04437-2 · Cited by 79
Assessment of the quality of Internet information on sleeve gastrectomy
Corcelles, R., Daigle, C. R., Romero‐Talamás, H., Brethauer, S. A., & Schauer, P. R. (2014) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2014.08.014 · Cited by 64
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Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3641289 · Cited by 4,254
“, 2023), and many other medical disciplines (Hamidi and Roberts, 2023; Johnson et al., 2023; Samaan et al., 2023), demonstrating its effectiveness in the field of medical queries to a certain extent.”
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Kalyan, K. S. (2024) · Natural Language Processing Journal · doi:10.1016/j.nlp.2023.100048 · Cited by 335
Current applications and challenges in large language models for patient care: a systematic review
Busch, F., Hoffmann, L., Rueger, C., van Dijk, E. H., Kader, R., Ortiz-Prado, E., Makowski, M. R., Saba, L., Hadamitzky, M., Kather, J. N., et al. (2025) · Communications Medicine · doi:10.1038/s43856-024-00717-2 · Cited by 358
Lim, Z. W., Pushpanathan, K., Yew, S. M. E., Lai, Y., Sun, C., Lam, J. S. H., Chen, D. Z., Goh, J. H. L., Tan, M. C. J., Sheng, B., et al. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104770 · Cited by 329
Large language models in patient education: a scoping review of applications in medicine
Aydin, S., Karabacak, M., Vlachos, V., & Margetis, K. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1477898 · Cited by 318
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
Bernstein, I. A., Zhang, Y., Govil, D., Majid, I., Chang, R. T., Sun, Y., Shue, A., Chou, J. C., Schehlein, E. M., Christopher, K. L., et al. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.30320 · Cited by 260
Moulaei, K., Yadegari, A., Baharestani, M., Farzanbakhsh, S., Sabet, B., & Reza Afrash, M. (2024) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105474 · Cited by 244
Younis, H. A., Eisa, T. A. E., Nasser, M., Sahib, T. M., Noor, A. A., Alyasiri, O. M., Salisu, S., Hayder, I. M., & Younis, H. A. (2024) · Diagnostics · doi:10.3390/diagnostics14010109 · Cited by 242
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis
Wei, Q., Yao, Z., Cui, Y., Wei, B., Jin, Z., & Xu, X. (2024) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2024.104620 · Cited by 233
Suárez, A., García, V. D., Algar, J., Sánchez, M. G., de Pedro, M. L., & Freire, Y. (2023) · International Endodontic Journal · doi:10.1111/iej.13985 · Cited by 234
Decker, H., Trang, K., Ramirez, J., Colley, A., Pierce, L., Coleman, M., Bongiovanni, T., Melton, G. B., & Wick, E. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.36997 · Cited by 178
Yun, H. S., & Bickmore, T. (2025) · Journal of Medical Internet Research · doi:10.2196/68560 · Cited by 151
He, K., Mao, R., Lin, Q., Ruan, Y., Lan, X., Feng, M., & Cambria, E. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.102963 · Cited by 147
Önder, Ç. E., Koç, G., Gökbulut, P., Taşkaldıran, I., & Kuşkonmaz, Ş. M. (2024) · Scientific Reports · doi:10.1038/s41598-023-50884-w · Cited by 134
Ayre, J., Mac, O., McCaffery, K., McKay, B. R., Liu, M., Shi, Y., Rezwan, A., & Dunn, A. G. (2024) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08469-w · Cited by 124
Yim, D., Khuntia, J., Parameswaran, V., & Meyers, A. D. (2024) · JMIR Medical Informatics · doi:10.2196/52073 · Cited by 140
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Ghanem, Y. K., Rouhi, A. D., Al-Houssan, A., Saleh, Z., Moccia, M. C., Joshi, H., Dumon, K. R., Hong, Y., Spitz, F., Joshi, A. R., et al. (2024) · Surgical Endoscopy · doi:10.1007/s00464-024-10739-5 · Cited by 97
Ayo-Ajibola, O., Davis, R. J., Lin, M. E., Riddell, J., & Kravitz, R. L. (2024) · Journal of Medical Internet Research · doi:10.2196/55138 · Cited by 95
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Özden, İ., Gökyar, M., Ozden, M. E., & Öveçoğlu, H. S. (2024) · Dental Traumatology · doi:10.1111/edt.12965 · Cited by 100
Lahat, A., Shachar, E., Avidan, B., Glicksberg, B. S., & Klang, E. (2023) · Diagnostics · doi:10.3390/diagnostics13111950 · Cited by 92
Suárez, A., Jiménez, J., de Pedro, M. L., Vázquez, C. A., García, V. D., Sánchez, M. G., & Freire, Y. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.11.058 · Cited by 92
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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
Nasra, M., Jaffri, R., Pavlin‐Premrl, D., Kok, H. K., Khabaza, A., Barras, C. D., Slater, L., Yazdabadi, A., Moore, J. M., Russell, J. H., et al. (2024) · Internal Medicine Journal · doi:10.1111/imj.16607 · Cited by 91
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Chen, X., Xiang, J., Lu, S., Liu, Y., He, M., & Shi, D. (2025) · Intelligent Medicine · doi:10.1016/j.imed.2025.03.002 · Cited by 97
Yau, J. Y.-S., Saadat, S., Hsu, E., Murphy, L. S.-L., Roh, J., Suchard, J. R., Tapia, A., Wiechmann, W. F., & Langdorf, M. I. (2024) · Journal of Medical Internet Research · doi:10.2196/60291 · Cited by 89
Lee, Y., Shin, T. H., Tessier, L., Javidan, A. P., Jung, J. J., Hong, D., Strong, A. T., McKechnie, T., Malone, S., Jin, D., et al. (2024) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2024.03.011 · Cited by 79
Ye, C., Zweck, E., Ma, Z., Smith, J., & Katz, S. (2024) · Arthritis & Rheumatology · doi:10.1002/art.42737 · Cited by 69
He, K., Mao, R., Lin, Q., Ruan, Y., Lan, X., Feng, M., & Cambria, E. (2024) · doi:10.2139/ssrn.4809363 · Cited by 69
Cohen, S., Brant, A. R., Fisher, A. C., Pershing, S., Diana, V., & Pan, C. K. (2024) · Seminars in Ophthalmology · doi:10.1080/08820538.2024.2326058 · Cited by 73
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Chen, D., Alnassar, S. A., Avison, K. E., Huang, R. S., & Raman, S. (2025) · JMIR Cancer · doi:10.2196/65984 · Cited by 66
Lehnen, N. C., Dorn, F., Wiest, I. C., Zimmermann, H., Radbruch, A., Kather, J. N., & Paech, D. (2024) · Radiology · doi:10.1148/radiol.232741 · Cited by 65
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
Zhang, S., Liau, Z. Q. G., Tan, K. L. M., & Chua, W. L. (2024) · Knee Surgery and Related Research · doi:10.1186/s43019-024-00218-5 · Cited by 65
Hermann, C. E., Patel, J. M., Boyd, L. R., Growdon, W. B., Aviki, E. M., & Stasenko, M. (2023) · Gynecologic Oncology · doi:10.1016/j.ygyno.2023.11.008 · Cited by 58
Srinivasan, N., Samaan, J. S., Rajeev, N. D., Kanu, M. U., Yeo, Y. H., & Samakar, K. (2024) · Surgical Endoscopy · doi:10.1007/s00464-024-10720-2 · Cited by 65
Self-citationLahat, A., Sharif, Κ., Zoabi, N., Patt, Y. S., Sharif, Y., Fisher, L., Shani, U., Arow, M., Levin, R., & Klang, E. (2024) · Journal of Medical Internet Research · doi:10.2196/54571 · Cited by 64
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Shen, S. A., Perez-Heydrich, C. A., Xie, D. X., & Nellis, J. C. (2024) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-024-08524-0 · Cited by 53
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Lee, C., & Cha, K. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2405266 · Cited by 53
Jiang, H., Xia, S., Yang, Y., Xu, J., Hua, Q., Mei, Z., Hou, Y., Wei, M., Lai, L., Li, N., et al. (2024) · European Journal of Radiology · doi:10.1016/j.ejrad.2024.111458 · Cited by 54
Abi‐Rafeh, J., Xu, H. H., Kazan, R., Tevlin, R., & Furnas, H. J. (2023) · Aesthetic Surgery Journal · doi:10.1093/asj/sjad260 · Cited by 52
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Rodler, S., Ganjavi, C., BACKER, P. D., Magoulianitis, V., Ramacciotti, L. S., Abreu, A. L., Gill, I. S., & Cacciamani, G. E. (2024) · Surgery · doi:10.1016/j.surg.2024.02.019 · Cited by 52
Yun, J. Y., Kim, D. J., Lee, N., & Kim, E. K. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105219 · Cited by 45
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Gan, W., Ouyang, J., She, G., Xue, Z., Zhu, L., Lin, A., Mou, W., Jiang, A., Chang, Q., Cheng, Q., et al. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000002223 · Cited by 36
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Jazi, A. H. D., Mahjoubi, M., Shahmiri, S. S., Alqahtani, A. R., Haddad, A. J., Pazouki, A., Prasad, A., Safadi, B. Y., Chiappetta, S., Taşkın, H. E., et al. (2023) · Obesity Surgery · doi:10.1007/s11695-023-06903-w · Cited by 34
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Fernández-Pichel, M., Pichel, J. C., & Losada, D. E. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01546-w · Cited by 33
AlShehri, Y., McConkey, M. O., & Lodhia, P. (2024) · Arthroscopy The Journal of Arthroscopic and Related Surgery · doi:10.1016/j.arthro.2024.06.017 · Cited by 33
The opportunities and challenges of adopting ChatGPT in medical research
Alsadhan, A. A., Al-Anezi, F., AlMohanna, A. M., Alnaim, N. M., Alzahrani, H. A., shinawi, R., AboAlsamh, H. M., Bakhshwain, A. M., Alenazy, M. F., Arif, W. M., et al. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1259640 · Cited by 35
Yapar, D., Avcı, Y. D., Sonuvar, E. T., Eğerci, Ö. F., & Yapar, A. (2023) · Joint Diseases and Related Surgery · doi:10.52312/jdrs.2023.1402 · Cited by 30
Szymanski, A., Wimer, B. L., Anuyah, O., Eicher‐Miller, H. A., & Metoyer, R. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641924 · Cited by 33
Reynolds, K. A., Nadelman, D. A., Durgin, J. S., Ansah-Addo, S., Cole, D. W., Fayne, R. A., Harrell, J., Ratycz, M., Runge, M., Shepard-Hayes, A., et al. (2024) · Clinical and Experimental Dermatology · doi:10.1093/ced/llad456 · Cited by 28
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Law, S., Oldfield, B. J., Yang, W., & Collaborative, G. O. (2024) · Obesity Reviews · doi:10.1111/obr.13746 · Cited by 31
Chen, J., Cadiente, A., Kasselman, L. J., & Pilkington, B. (2024) · Journal of Medical Ethics · doi:10.1136/jme-2023-109366 · Cited by 28
Wu, Y., Zhang, Z., Dong, X., Hong, S., Hu, Y., Liang, P., Li, L., Zou, B., Wu, X., Wang, D., et al. (2024) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2024.109645 · Cited by 29
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Clinical applications of large language models in medicine and surgery: A scoping review
Liang, E. N., Pei, S., Staibano, P., & van der Woerd, B. D. (2025) · Journal of International Medical Research · doi:10.1177/03000605251347556 · Cited by 28
Kermansaravi, M., Chiappetta, S., Shahmiri, S. S., Varas, J., Parmar, C. D., Lee, Y., Dang, J. T., Shabbir, A., Hashimoto, D. A., Jazi, A. H. D., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-94335-0 · Cited by 30
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Kassab, J. T., Hajjar, A. H. E., Wardrop, R. M., & Brateanu, A. (2024) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2024.02.006 · Cited by 25
Lang, S., Vitale, J. A., Fekete, T. F., Haschtmann, D., Reitmeir, R., Ropelato, M. D., Puhakka, J., Galbusera, F., & Loibl, M. (2024) · Brain and Spine · doi:10.1016/j.bas.2024.102804 · Cited by 24
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Shi, Q., Luzuriaga, K., Allison, J. J., Oztekin, A., Faro, J. M., Lee, J. L., Hafer, N., McManus, M., & Zai, A. H. (2025) · JMIR Medical Informatics · doi:10.2196/68139 · Cited by 23
Alqudah, A. A., Aleshawi, A. J., Baker, M., Alnajjar, Z., Ayasrah, I., Ta’ani, Y., Salkhadi, M. A. A., & Aljawarneh, S. (2024) · Medicine · doi:10.1097/md.0000000000039120 · Cited by 23
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Kim, J., Lee, S., Jeon, H., Lee, K., Bae, H., Kim, B., & Seo, J. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456215 · Cited by 27
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Metadata
- Authors
- Samaan, J. S., Yeo, Y. H., Rajeev, N., Hawley, L., Abel, S., Ng, W. H., Srinivasan, N., Park, J., Burch, M., Watson, R., Liran, O., & Samakar, K.
- Affiliations
- Cedars-Sinai Medical Center (US)
- University of Southern California (US)
- University of Bristol (GB)
- Corresponding author
- Samaan, Jamil S.
- ORCID
- Venue
- Obesity Surgery
- Published
- 2023-04-27
- Volume
- 33
- Issue
- 6
- Pages
- 1790-1796
- ISSN
- 0960-8923 (ISSN-L)
- 1708-0428
- PMC
- PMC10234918
- OpenAlex
- W4367175507
- Cited by
- 282
- References
- 25
- Citations by year
- 2026: 39 · 2025: 87 · 2024: 115 · 2023: 41
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Obesity Surgery (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Cedars-Sinai Medical Center
- 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 › Surgery › Bariatric Surgery and Outcomes
- Keywords
- ChatGPT, large language models
- MeSH terms
- Humans, Language, Obesity, Morbid, Quality of Life, Reproducibility of Results, Bariatric Surgery
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