Evaluating the Impact of Large Language Model AI on Acute Pancreatitis Management:A Chatgpt-based Investigation

Background: Evidence-based management of acute pancreatitis (AP) is important for patient outcomes. The present study evaluated suggestions by artificial intelligence (AI) chatbot system, ChatGPT, for the management of acute pancreatitis, its alignment with clinical guidelines, and assistance in clinical decisionmaking. Methods: Six questions on pancreatitis management were curated by experienced RACS-qualified general urgeons and were put forth to ChatGPT. The chatbot was also asked to provide five high-level evidence references to support each of its responses. Each response was analyzed for its accuracy and comprehensiveness with respect to current internationally recognized guidelines and by two BoardCertified General Surgeons for acute pancreatitis anagement, as well as for its spelling, grammar, and reference quality. A five-point Likert Scale was utilized to analyze ChatGPT's responses, with scores ranging from 1 (strongly disagree) to 5 (strongly agree). Ten questions were designed to assess accuracy, consistency, informativeness, reliability, and coherence. These were independently rated by three junior doctors and two General Surgeons, with any scoring discrepancies resolved through consensus. Results: ChatGPT successfully adhered to clinical guidelines when generating recommendations for the management of acute pancreatitis. The depth of information remained general and non-specific but was presented in an academicea`dmanner with appropriate grammar, spelling and sentence structure. ChatGPT missed pertinent edreferences, with some being totally fabricated or erroneous. Conclusion: ChatGPT holds promise for delivering prompt and accessible medical information to non-experts, which may benefit in situations where medical professionals and resources may be scarce or patients are reluctant to seek such services. The inclusion of aberrant or fabricated references is a challenge for researchers and clinicians and breaches academic integrity. Ethically, it is imperative for researchers to exercise prudence when utilizing ChatGPT for research purposes.

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Publication Details

Journal
Global Journal of Medical Research
Published
2024-11-29
DOI
https://doi.org/10.34257/ljmhrvol24is10pg71
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Evaluating the Impact of Large Language Model AI on Acute Pancreatitis Management:A Chatgpt-based Investigation

Dylan Gracias BBiomed, Adrian Siu BPharm, Ishith Seth BBiomed, Dilshaad Dooreemeah MBBS MS et al.
Global Journal of Medical Research
Artificial Intelligence in Healthcare and Education
article

Evaluating the Impact of Large Language Model AI on Acute Pancreatitis Management:A Chatgpt-based Investigation

Dylan Gracias BBiomed, Adrian Siu BPharm, Ishith Seth BBiomed, Dilshaad Dooreemeah MBBS MS, MBBS Angus Lee
article en

Abstract

Background: Evidence-based management of acute pancreatitis (AP) is important for patient outcomes. The present study evaluated suggestions by artificial intelligence (AI) chatbot system, ChatGPT, for the management of acute pancreatitis, its alignment with clinical guidelines, and assistance in clinical decisionmaking. Methods: Six questions on pancreatitis management were curated by experienced RACS-qualified general urgeons and were put forth to ChatGPT. The chatbot was also asked to provide five high-level evidence references to support each of its responses. Each response was analyzed for its accuracy and comprehensiveness with respect to current internationally recognized guidelines and by two BoardCertified General Surgeons for acute pancreatitis anagement, as well as for its spelling, grammar, and reference quality. A five-point Likert Scale was utilized to analyze ChatGPT's responses, with scores ranging from 1 (strongly disagree) to 5 (strongly agree). Ten questions were designed to assess accuracy, consistency, informativeness, reliability, and coherence. These were independently rated by three junior doctors and two General Surgeons, with any scoring discrepancies resolved through consensus. Results: ChatGPT successfully adhered to clinical guidelines when generating recommendations for the management of acute pancreatitis. The depth of information remained general and non-specific but was presented in an academicea`dmanner with appropriate grammar, spelling and sentence structure. ChatGPT missed pertinent edreferences, with some being totally fabricated or erroneous. Conclusion: ChatGPT holds promise for delivering prompt and accessible medical information to non-experts, which may benefit in situations where medical professionals and resources may be scarce or patients are reluctant to seek such services. The inclusion of aberrant or fabricated references is a challenge for researchers and clinicians and breaches academic integrity. Ethically, it is imperative for researchers to exercise prudence when utilizing ChatGPT for research purposes.

Global Journal of Medical Research
Quality Education
Openalex Percentile: Top 83%
Artificial Intelligence in Healthcare and Education
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