ChatGPT: Friend or foe in medical writing? An example of how ChatGPT can be utilized in writing case reports
•ChatGPT can proofread and summarize medical reports without omitting key info.•The interactive nature of ChatGPT can lead to new medical insights.•ChatGPT can provide contextualized answers based on the conversation history.•ChatGPT provides false citations that cannot be located in any medical dat...
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| Published in | Surgery in practice and science Vol. 14; p. 100185 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.09.2023
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2666-2620 2666-2620 |
| DOI | 10.1016/j.sipas.2023.100185 |
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| Abstract | •ChatGPT can proofread and summarize medical reports without omitting key info.•The interactive nature of ChatGPT can lead to new medical insights.•ChatGPT can provide contextualized answers based on the conversation history.•ChatGPT provides false citations that cannot be located in any medical database.•There is a lack of clear guidelines regarding the usage of ChatGPT in research.
ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of domain-specific training, ChatGPT has developed remarkable accuracy in interpreting clinical information. In this article, we aim to assess what role ChatGPT can serve in medical writing. We recruited a first-year medical student with no prior experience in writing case reports to write a case report on a complex surgery with the assistance of ChatGPT. After a thorough evaluation of its responses, we believe that ChatGPT is a powerful medical writing tool that can be used to generate summaries, proofread, and provide valuable medical insight. However, ChatGPT is not a substitute for a study author due to several significant limitations, and should instead be used in conjunction with the author during the writing process. As the impact of natural language processing models such as ChatGPT grows, we suggest that guidelines be established on how to better utilize this technology to improve clinical research rather than outright prohibiting its usage. |
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| AbstractList | ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of domain-specific training, ChatGPT has developed remarkable accuracy in interpreting clinical information. In this article, we aim to assess what role ChatGPT can serve in medical writing. We recruited a first-year medical student with no prior experience in writing case reports to write a case report on a complex surgery with the assistance of ChatGPT. After a thorough evaluation of its responses, we believe that ChatGPT is a powerful medical writing tool that can be used to generate summaries, proofread, and provide valuable medical insight. However, ChatGPT is not a substitute for a study author due to several significant limitations, and should instead be used in conjunction with the author during the writing process. As the impact of natural language processing models such as ChatGPT grows, we suggest that guidelines be established on how to better utilize this technology to improve clinical research rather than outright prohibiting its usage. •ChatGPT can proofread and summarize medical reports without omitting key info.•The interactive nature of ChatGPT can lead to new medical insights.•ChatGPT can provide contextualized answers based on the conversation history.•ChatGPT provides false citations that cannot be located in any medical database.•There is a lack of clear guidelines regarding the usage of ChatGPT in research. ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of domain-specific training, ChatGPT has developed remarkable accuracy in interpreting clinical information. In this article, we aim to assess what role ChatGPT can serve in medical writing. We recruited a first-year medical student with no prior experience in writing case reports to write a case report on a complex surgery with the assistance of ChatGPT. After a thorough evaluation of its responses, we believe that ChatGPT is a powerful medical writing tool that can be used to generate summaries, proofread, and provide valuable medical insight. However, ChatGPT is not a substitute for a study author due to several significant limitations, and should instead be used in conjunction with the author during the writing process. As the impact of natural language processing models such as ChatGPT grows, we suggest that guidelines be established on how to better utilize this technology to improve clinical research rather than outright prohibiting its usage. • ChatGPT can proofread and summarize medical reports without omitting key info. • The interactive nature of ChatGPT can lead to new medical insights. • ChatGPT can provide contextualized answers based on the conversation history. • ChatGPT provides false citations that cannot be located in any medical database. • There is a lack of clear guidelines regarding the usage of ChatGPT in research. ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of domain-specific training, ChatGPT has developed remarkable accuracy in interpreting clinical information. In this article, we aim to assess what role ChatGPT can serve in medical writing. We recruited a first-year medical student with no prior experience in writing case reports to write a case report on a complex surgery with the assistance of ChatGPT. After a thorough evaluation of its responses, we believe that ChatGPT is a powerful medical writing tool that can be used to generate summaries, proofread, and provide valuable medical insight. However, ChatGPT is not a substitute for a study author due to several significant limitations, and should instead be used in conjunction with the author during the writing process. As the impact of natural language processing models such as ChatGPT grows, we suggest that guidelines be established on how to better utilize this technology to improve clinical research rather than outright prohibiting its usage. ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of domain-specific training, ChatGPT has developed remarkable accuracy in interpreting clinical information. In this article, we aim to assess what role ChatGPT can serve in medical writing. We recruited a first-year medical student with no prior experience in writing case reports to write a case report on a complex surgery with the assistance of ChatGPT. After a thorough evaluation of its responses, we believe that ChatGPT is a powerful medical writing tool that can be used to generate summaries, proofread, and provide valuable medical insight. However, ChatGPT is not a substitute for a study author due to several significant limitations, and should instead be used in conjunction with the author during the writing process. As the impact of natural language processing models such as ChatGPT grows, we suggest that guidelines be established on how to better utilize this technology to improve clinical research rather than outright prohibiting its usage.ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of domain-specific training, ChatGPT has developed remarkable accuracy in interpreting clinical information. In this article, we aim to assess what role ChatGPT can serve in medical writing. We recruited a first-year medical student with no prior experience in writing case reports to write a case report on a complex surgery with the assistance of ChatGPT. After a thorough evaluation of its responses, we believe that ChatGPT is a powerful medical writing tool that can be used to generate summaries, proofread, and provide valuable medical insight. However, ChatGPT is not a substitute for a study author due to several significant limitations, and should instead be used in conjunction with the author during the writing process. As the impact of natural language processing models such as ChatGPT grows, we suggest that guidelines be established on how to better utilize this technology to improve clinical research rather than outright prohibiting its usage. |
| ArticleNumber | 100185 |
| Author | Ho, Wai Lone Jonathan Sujka, Joseph Koussayer, Bilal |
| Author_xml | – sequence: 1 givenname: Wai Lone Jonathan orcidid: 0000-0003-2706-3012 surname: Ho fullname: Ho, Wai Lone Jonathan email: wailoneho@usf.edu organization: USF Health Morsani College of Medicine, 560 Channelside Dr, Tampa, FL 33602, United States – sequence: 2 givenname: Bilal surname: Koussayer fullname: Koussayer, Bilal organization: USF Health Morsani College of Medicine, 560 Channelside Dr, Tampa, FL 33602, United States – sequence: 3 givenname: Joseph orcidid: 0000-0002-0516-8879 surname: Sujka fullname: Sujka, Joseph organization: USF Department of General Surgery 2 Tampa General Circle, 7th Floor Tampa, FL 33606, United States |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39845855$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1007/s00464-013-2803-0 10.1148/radiol.223312 10.1145/3571730 10.1038/d41586-023-00107-z 10.1093/dote/9.4.278 10.1109/CCWC57344.2023.10099179 10.1186/s12876-016-0502-8 10.1007/s00423-023-02774-y 10.1007/s11605-009-0873-z 10.1007/s00464-007-9490-7 10.1007/s00464-018-6429-0 10.1016/j.thorsurg.2006.01.010 10.1007/s00464-018-6304-z 10.1038/d41586-023-00288-7 10.1038/d41586-023-00056-7 10.1089/lap.2011.0038 |
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| Keywords | Hernia repair Case report Research ChatGPT Artificial intelligence Surgical education |
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| References | Furnée, Draaisma, Broeders, Gooszen (bib0006) 2009; 13 Bizekis, Kent, Luketich (bib0026) 2006; 16 Toydemir, Tekin, Yerdel (bib0010) 2011; 21 Bishop (formerly Lea Shaver) (bib0011) 2023 Antiporda, Jackson, Smith, Thomas, Elli, Bowers (bib0025) 2019; 33 Brown, Mann, Ryder (bib0015) 2020 van Dis, Bollen, Zuidema, van Rooij, Bockting (bib0001) 2023; 614 OpenAI. Terms of use. Accessed February 10, 2023. Stokel-Walker (bib0004) 2023; 613 Al Hashmi AW, Pineton de Chambrun, Souche (bib0005) 2019; 33 Lin, Hilton, TruthfulQA (bib0018) 2022; 1 Tamkin A., Brundage M., Clark J., Ganguli D. Understanding the capabilities, limitations, and societal impact of large language models. Published online February 4, 2021. doi Else (bib0003) 2023; 613 Zhang T., Ladhak F., Durmus E., Liang P., McKeown K., Hashimoto T.B. Benchmarking Large Language Models for News Summarization. Published online January 31, 2023. Accessed May 24, 2023. Biswas (bib0002) 2023 Ji, Lee, Frieske (bib0017) 2022; 55 Borji A., Ai Q. A categorical archive of ChatGPT failures. Published online February 6, 2023. Accessed May 24, 2023. Morgenthal, Lin, Shane, Hunter, Smith (bib0007) 2007; 21 Yang X., Li Y., Zhang X., Chen H., Cheng W. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. Published online February 16, 2023. Accessed May 24, 2023. Rausa, Ferrari, Kelly (bib0023) 2023; 408 . Koch, Kaindlstorfer, Antoniou, Luketina, Emmanuel, Pointner (bib0009) 2013; 27 OpenAI. GPT-4 technical report. Published online March 15, 2023. Accessed May 24, 2023. Seeras, Siccardi (bib0024) 2019 Du, Hu, Yan, Zhang, Wang, Wu (bib0022) 2016; 16 Chang E.Y. Prompting large language models with the socratic method. Published online February 17, 2023. Accessed April 23, 2023. Siewert, Stein (bib0008) 1996; 9 Morgenthal (10.1016/j.sipas.2023.100185_bib0007) 2007; 21 Seeras (10.1016/j.sipas.2023.100185_bib0024) 2019 Lin (10.1016/j.sipas.2023.100185_bib0018) 2022; 1 Stokel-Walker (10.1016/j.sipas.2023.100185_bib0004) 2023; 613 10.1016/j.sipas.2023.100185_bib0021 10.1016/j.sipas.2023.100185_bib0020 van Dis (10.1016/j.sipas.2023.100185_bib0001) 2023; 614 Rausa (10.1016/j.sipas.2023.100185_bib0023) 2023; 408 Koch (10.1016/j.sipas.2023.100185_bib0009) 2013; 27 Brown (10.1016/j.sipas.2023.100185_bib0015) 2020 Ji (10.1016/j.sipas.2023.100185_bib0017) 2022; 55 Toydemir (10.1016/j.sipas.2023.100185_bib0010) 2011; 21 Furnée (10.1016/j.sipas.2023.100185_bib0006) 2009; 13 Du (10.1016/j.sipas.2023.100185_bib0022) 2016; 16 10.1016/j.sipas.2023.100185_bib0012 Biswas (10.1016/j.sipas.2023.100185_bib0002) 2023 Antiporda (10.1016/j.sipas.2023.100185_bib0025) 2019; 33 Bishop (formerly Lea Shaver) (10.1016/j.sipas.2023.100185_bib0011) 2023 Siewert (10.1016/j.sipas.2023.100185_bib0008) 1996; 9 10.1016/j.sipas.2023.100185_bib0019 10.1016/j.sipas.2023.100185_bib0016 Bizekis (10.1016/j.sipas.2023.100185_bib0026) 2006; 16 Al Hashmi AW (10.1016/j.sipas.2023.100185_bib0005) 2019; 33 10.1016/j.sipas.2023.100185_bib0014 Else (10.1016/j.sipas.2023.100185_bib0003) 2023; 613 10.1016/j.sipas.2023.100185_bib0013 |
| References_xml | – volume: 21 start-page: 669 year: 2011 end-page: 676 ident: bib0010 article-title: Laparoscopic Nissen versus Toupet fundoplication: assessment of operative outcomes publication-title: J Laparoendosc Adv Surg Tech A – volume: 1 start-page: 3214 year: 2022 end-page: 3252 ident: bib0018 article-title: Measuring how models mimic human falsehoods publication-title: Proceedings of the Annual Meeting of the Association for Computational Linguistics – volume: 614 start-page: 224 year: 2023 end-page: 226 ident: bib0001 article-title: ChatGPT: five priorities for research publication-title: Nature – volume: 613 start-page: 423 year: 2023 ident: bib0003 article-title: Abstracts written by ChatGPT fool scientists publication-title: Nature – reference: OpenAI. Terms of use. Accessed February 10, 2023. – reference: Borji A., Ai Q. A categorical archive of ChatGPT failures. Published online February 6, 2023. Accessed May 24, 2023. – reference: Yang X., Li Y., Zhang X., Chen H., Cheng W. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. Published online February 16, 2023. Accessed May 24, 2023. – volume: 16 start-page: 88 year: 2016 ident: bib0022 article-title: A meta-analysis of long follow-up outcomes of laparoscopic Nissen (total) versus Toupet (270°) fundoplication for gastro-esophageal reflux disease based on randomized controlled trials in adults publication-title: BMC Gastroenterol – volume: 55 start-page: 1 year: 2022 end-page: 38 ident: bib0017 article-title: Survey of hallucination in natural language generation publication-title: ACM Comput Surv – volume: 408 start-page: 52 year: 2023 ident: bib0023 article-title: Efficacy of laparoscopic Toupet fundoplication compared to endoscopic and surgical procedures for GERD treatment: a randomized trials network meta-analysis publication-title: Langenbecks Arch Surg – volume: 9 start-page: 278 year: 1996 end-page: 284 ident: bib0008 article-title: Nissen fundoplication for gastroesophageal reflux disease: technical details, long-term outcome, and causes of failures publication-title: Dis Esophagus – volume: 13 start-page: 1539 year: 2009 ident: bib0006 article-title: Surgical reintervention after failed antireflux surgery: a systematic review of the literature publication-title: J Gastrointest Surg – volume: 33 start-page: 243 year: 2019 end-page: 251 ident: bib0005 article-title: A retrospective multicenter analysis on redo-laparoscopic anti-reflux surgery: conservative or conversion fundoplication? publication-title: Surg Endosc – year: 2020 ident: bib0015 article-title: Language models are few-shot learners publication-title: Adv Neural Inf Process Syst – year: 2023 ident: bib0011 article-title: A computer wrote this paper: what ChatGPT means for education, research, and writing publication-title: SSRN Electron J – volume: 21 start-page: 1978 year: 2007 end-page: 1984 ident: bib0007 article-title: Who will fail laparoscopic Nissen fundoplication? Preoperative prediction of long-term outcomes publication-title: Surg Endosc – reference: Chang E.Y. Prompting large language models with the socratic method. Published online February 17, 2023. Accessed April 23, 2023. – volume: 16 start-page: 99 year: 2006 end-page: 108 ident: bib0026 article-title: Complications after surgery for gastroesophageal reflux disease publication-title: Thorac Surg Clin – volume: 27 start-page: 2383 year: 2013 end-page: 2390 ident: bib0009 article-title: Comparison of results from a randomized trial 1 year after laparoscopic Nissen and Toupet fundoplications publication-title: Surg Endosc – reference: . – reference: Zhang T., Ladhak F., Durmus E., Liang P., McKeown K., Hashimoto T.B. Benchmarking Large Language Models for News Summarization. Published online January 31, 2023. Accessed May 24, 2023. – reference: Tamkin A., Brundage M., Clark J., Ganguli D. Understanding the capabilities, limitations, and societal impact of large language models. Published online February 4, 2021. doi: – year: 2023 ident: bib0002 article-title: ChatGPT and the future of medical writing publication-title: Radiology – volume: 33 start-page: 1474 year: 2019 end-page: 1481 ident: bib0025 article-title: Strategies for surgical remediation of the multi-fundoplication failure patient publication-title: Surg Endosc – reference: OpenAI. GPT-4 technical report. Published online March 15, 2023. Accessed May 24, 2023. – volume: 613 start-page: 620 year: 2023 end-page: 621 ident: bib0004 article-title: ChatGPT listed as author on research papers: many scientists disapprove publication-title: Nature – year: 2019 ident: bib0024 article-title: Nissen fundoplication (Anti-Reflux procedure) – ident: 10.1016/j.sipas.2023.100185_bib0020 – volume: 27 start-page: 2383 issue: 7 year: 2013 ident: 10.1016/j.sipas.2023.100185_bib0009 article-title: Comparison of results from a randomized trial 1 year after laparoscopic Nissen and Toupet fundoplications publication-title: Surg Endosc doi: 10.1007/s00464-013-2803-0 – year: 2023 ident: 10.1016/j.sipas.2023.100185_bib0002 article-title: ChatGPT and the future of medical writing publication-title: Radiology doi: 10.1148/radiol.223312 – volume: 55 start-page: 1 issue: 12 year: 2022 ident: 10.1016/j.sipas.2023.100185_bib0017 article-title: Survey of hallucination in natural language generation publication-title: ACM Comput Surv doi: 10.1145/3571730 – ident: 10.1016/j.sipas.2023.100185_bib0014 – volume: 613 start-page: 620 issue: 7945 year: 2023 ident: 10.1016/j.sipas.2023.100185_bib0004 article-title: ChatGPT listed as author on research papers: many scientists disapprove publication-title: Nature doi: 10.1038/d41586-023-00107-z – ident: 10.1016/j.sipas.2023.100185_bib0016 – volume: 9 start-page: 278 issue: 4 year: 1996 ident: 10.1016/j.sipas.2023.100185_bib0008 article-title: Nissen fundoplication for gastroesophageal reflux disease: technical details, long-term outcome, and causes of failures publication-title: Dis Esophagus doi: 10.1093/dote/9.4.278 – ident: 10.1016/j.sipas.2023.100185_bib0012 doi: 10.1109/CCWC57344.2023.10099179 – volume: 1 start-page: 3214 year: 2022 ident: 10.1016/j.sipas.2023.100185_bib0018 article-title: Measuring how models mimic human falsehoods – volume: 16 start-page: 88 issue: 1 year: 2016 ident: 10.1016/j.sipas.2023.100185_bib0022 article-title: A meta-analysis of long follow-up outcomes of laparoscopic Nissen (total) versus Toupet (270°) fundoplication for gastro-esophageal reflux disease based on randomized controlled trials in adults publication-title: BMC Gastroenterol doi: 10.1186/s12876-016-0502-8 – volume: 408 start-page: 52 issue: 1 year: 2023 ident: 10.1016/j.sipas.2023.100185_bib0023 article-title: Efficacy of laparoscopic Toupet fundoplication compared to endoscopic and surgical procedures for GERD treatment: a randomized trials network meta-analysis publication-title: Langenbecks Arch Surg doi: 10.1007/s00423-023-02774-y – volume: 13 start-page: 1539 issue: 8 year: 2009 ident: 10.1016/j.sipas.2023.100185_bib0006 article-title: Surgical reintervention after failed antireflux surgery: a systematic review of the literature publication-title: J Gastrointest Surg doi: 10.1007/s11605-009-0873-z – volume: 21 start-page: 1978 issue: 11 year: 2007 ident: 10.1016/j.sipas.2023.100185_bib0007 article-title: Who will fail laparoscopic Nissen fundoplication? Preoperative prediction of long-term outcomes publication-title: Surg Endosc doi: 10.1007/s00464-007-9490-7 – year: 2019 ident: 10.1016/j.sipas.2023.100185_bib0024 – volume: 33 start-page: 1474 issue: 5 year: 2019 ident: 10.1016/j.sipas.2023.100185_bib0025 article-title: Strategies for surgical remediation of the multi-fundoplication failure patient publication-title: Surg Endosc doi: 10.1007/s00464-018-6429-0 – ident: 10.1016/j.sipas.2023.100185_bib0021 – year: 2020 ident: 10.1016/j.sipas.2023.100185_bib0015 article-title: Language models are few-shot learners publication-title: Adv Neural Inf Process Syst – volume: 16 start-page: 99 issue: 1 year: 2006 ident: 10.1016/j.sipas.2023.100185_bib0026 article-title: Complications after surgery for gastroesophageal reflux disease publication-title: Thorac Surg Clin doi: 10.1016/j.thorsurg.2006.01.010 – ident: 10.1016/j.sipas.2023.100185_bib0013 – volume: 33 start-page: 243 issue: 1 year: 2019 ident: 10.1016/j.sipas.2023.100185_bib0005 article-title: A retrospective multicenter analysis on redo-laparoscopic anti-reflux surgery: conservative or conversion fundoplication? publication-title: Surg Endosc doi: 10.1007/s00464-018-6304-z – ident: 10.1016/j.sipas.2023.100185_bib0019 – volume: 614 start-page: 224 issue: 7947 year: 2023 ident: 10.1016/j.sipas.2023.100185_bib0001 article-title: ChatGPT: five priorities for research publication-title: Nature doi: 10.1038/d41586-023-00288-7 – year: 2023 ident: 10.1016/j.sipas.2023.100185_bib0011 article-title: A computer wrote this paper: what ChatGPT means for education, research, and writing publication-title: SSRN Electron J – volume: 613 start-page: 423 issue: 7944 year: 2023 ident: 10.1016/j.sipas.2023.100185_bib0003 article-title: Abstracts written by ChatGPT fool scientists publication-title: Nature doi: 10.1038/d41586-023-00056-7 – volume: 21 start-page: 669 issue: 8 year: 2011 ident: 10.1016/j.sipas.2023.100185_bib0010 article-title: Laparoscopic Nissen versus Toupet fundoplication: assessment of operative outcomes publication-title: J Laparoendosc Adv Surg Tech A doi: 10.1089/lap.2011.0038 |
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| Snippet | •ChatGPT can proofread and summarize medical reports without omitting key info.•The interactive nature of ChatGPT can lead to new medical insights.•ChatGPT can... ChatGPT is a chatbot built on a natural language processing model which can generate human-like responses to prompts given to it. Despite its lack of... • ChatGPT can proofread and summarize medical reports without omitting key info. • The interactive nature of ChatGPT can lead to new medical insights. •... |
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| SubjectTerms | Artificial intelligence Case report ChatGPT Hernia repair Surgical education |
| Title | ChatGPT: Friend or foe in medical writing? An example of how ChatGPT can be utilized in writing case reports |
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