Luke J Llaurado, Kishan S Shah, Isabel A Snee, Rachel N Rohrich, Ryan J Bender, Nicole C Episalla, Richard C Youn, Karen K Evans
{"title":"The Use of Artificial Intelligence in Responding to Patient Questions About Anterolateral Thigh Flap Surgery for Diabetic Foot Ulcers.","authors":"Luke J Llaurado, Kishan S Shah, Isabel A Snee, Rachel N Rohrich, Ryan J Bender, Nicole C Episalla, Richard C Youn, Karen K Evans","doi":"10.1055/a-2737-5287","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetic foot ulcer (DFU) care represents a significant challenge in plastic and reconstructive surgery. Oftentimes, patients encounter complex articles and websites to answer questions about their surgeries, including anterolateral thigh (ALT) flaps. Artificial intelligence (AI) represents a new and simplified resource for DFU patients seeking information regarding their care. To assess ChatGPT's utility as a patient resource, we evaluated the accuracy, comprehensiveness, and safety of AI-generated responses to frequently asked questions (FAQs) related to ALT flap surgery for DFU.</p><p><strong>Methods: </strong>Ten DFU and ALT flap care FAQs were posed to ChatGPT Model 3.5 in June 2024. Four plastic surgeons evaluated responses using a 10-point Likert scale for accuracy, comprehensiveness, and danger of ChatGPT's answers. Surgeons also provided qualitative feedback. Response readability was assessed using 10 readability indexes, averaged to produce a reading grade level for each response.</p><p><strong>Results: </strong>Overall, ChatGPT answered patient questions with a mean accuracy of 9.1 ± 1.2, comprehensiveness of 8.2 ± 1.5, and danger of 2.0 ± 1.0. ChatGPT answered at a mean grade level of 19.8 ± 20.1. Qualitatively, physician reviewers complimented the organizational clarity of the responses (<i>n</i> = 4/10) and the AI's ability to provide information on possible surgical complications (<i>n</i> = 4/10). While one response was noted to present explicitly incorrect information about preoperative preparation protocols and when they should be initiated, the majority of responses (<i>n</i> = 6/10) left out key postoperative information, notably dangle protocols and compression.</p><p><strong>Conclusion: </strong>ChatGPT provides accurate and comprehensive responses to FAQs related to patients undergoing ALT flap surgery for the treatment of DFUs. The AI-generated responses were praised for organizational clarity and informative content regarding surgical complications, but lacked essential postoperative care details. Therefore, while ChatGPT is a valuable informational tool, further refinement is necessary to ensure that fully comprehensive information is provided to DFU patients.</p>","PeriodicalId":16949,"journal":{"name":"Journal of reconstructive microsurgery","volume":" ","pages":"810-817"},"PeriodicalIF":2.3000,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of reconstructive microsurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2737-5287","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/5 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Diabetic foot ulcer (DFU) care represents a significant challenge in plastic and reconstructive surgery. Oftentimes, patients encounter complex articles and websites to answer questions about their surgeries, including anterolateral thigh (ALT) flaps. Artificial intelligence (AI) represents a new and simplified resource for DFU patients seeking information regarding their care. To assess ChatGPT's utility as a patient resource, we evaluated the accuracy, comprehensiveness, and safety of AI-generated responses to frequently asked questions (FAQs) related to ALT flap surgery for DFU.
Methods: Ten DFU and ALT flap care FAQs were posed to ChatGPT Model 3.5 in June 2024. Four plastic surgeons evaluated responses using a 10-point Likert scale for accuracy, comprehensiveness, and danger of ChatGPT's answers. Surgeons also provided qualitative feedback. Response readability was assessed using 10 readability indexes, averaged to produce a reading grade level for each response.
Results: Overall, ChatGPT answered patient questions with a mean accuracy of 9.1 ± 1.2, comprehensiveness of 8.2 ± 1.5, and danger of 2.0 ± 1.0. ChatGPT answered at a mean grade level of 19.8 ± 20.1. Qualitatively, physician reviewers complimented the organizational clarity of the responses (n = 4/10) and the AI's ability to provide information on possible surgical complications (n = 4/10). While one response was noted to present explicitly incorrect information about preoperative preparation protocols and when they should be initiated, the majority of responses (n = 6/10) left out key postoperative information, notably dangle protocols and compression.
Conclusion: ChatGPT provides accurate and comprehensive responses to FAQs related to patients undergoing ALT flap surgery for the treatment of DFUs. The AI-generated responses were praised for organizational clarity and informative content regarding surgical complications, but lacked essential postoperative care details. Therefore, while ChatGPT is a valuable informational tool, further refinement is necessary to ensure that fully comprehensive information is provided to DFU patients.
期刊介绍:
The Journal of Reconstructive Microsurgery is a peer-reviewed, indexed journal that provides an international forum for the publication of articles focusing on reconstructive microsurgery and complex reconstructive surgery. The journal was originally established in 1984 for the microsurgical community to publish and share academic papers.
The Journal of Reconstructive Microsurgery provides the latest in original research spanning basic laboratory, translational, and clinical investigations. Review papers cover current topics in complex reconstruction and microsurgery. In addition, special sections discuss new technologies, innovations, materials, and significant problem cases.
The journal welcomes controversial topics, editorial comments, book reviews, and letters to the Editor, in order to complete the balanced spectrum of information available in the Journal of Reconstructive Microsurgery. All articles undergo stringent peer review by international experts in the specialty.