Jamil S. Samaan|Yee Hui Yeo|Nithya Rajeev|Lauren Hawley|Stuart Abel|Wee Han Ng|Nitin Srinivasan|Justin Park|Miguel Burch|Rabindra R. Watson|Omer Liran|Kamran Samakar
Assessing the Accuracy of Responses by the Language Model ChatGPT to Questions Regarding Bariatric Surgery
Cedars-Sinai Medical Center|Cedars-Sinai Medical Center|Keck Hospital of USC|Keck Hospital of USC|Keck Hospital of USC|University of Bristol|Keck Hospital of USC|Keck Hospital of USC|Cedars-Sinai Medical Center|Cedars-Sinai Medical Center|Cedars-Sinai Medical Center|Keck Hospital of USC
chatgpt large language model trained large dataset covering broad range topics including medical literature aim examine accuracy reproducibility answering patient questions regarding bariatric surgeryquestions gathered nationally regarded professional societies health institutions well facebook support groups boardcertified bariatric surgeons graded accuracy reproducibility responses grading scale included following 1 comprehensive 2 correct inadequate 3 correct incorrect 4 completely incorrect reproducibility determined asking model question twice examining difference grading category two responsesin total 151 questions related bariatric surgery included model provided comprehensive responses 131151 868 questions examined category model provided comprehensive responses 938 questions related efficacy eligibility procedure options 933 related preoperative preparation 853 related recovery risks complications 882 related lifestyle changes 667 related model provided reproducible answers 137 907 questionsthe large language model chatgpt often provided accurate reproducible responses common questions related bariatric surgery chatgpt may serve helpful adjunct information resource patients regarding bariatric surgery addition standard care provided licensed healthcare professionals encourage future studies examine leverage disruptive technology improve patient outcomes quality life