TY - JOUR
T1 - Bariatric Evaluation Through AI
T2 - a Survey of Expert Opinions Versus ChatGPT-4 (BETA-SEOV)
AU - Jazi, Amir Hossein Davarpanah
AU - Mahjoubi, Mohammad
AU - Shahabi, Shahab
AU - Alqahtani, Aayed R.
AU - Haddad, Ashraf
AU - Pazouki, Abdolreza
AU - Prasad, Arun
AU - Safadi, Bassem Y.
AU - Chiappetta, Sonja
AU - Taskin, Halit Eren
AU - Billy, Helmuth Thorlakur
AU - Kasama, Kazunori
AU - Mahawar, Kamal
AU - Gawdat, Khaled
AU - Rheinwalt, Karl Peter
AU - Miller, Karl A.
AU - Kow, Lilian
AU - Neto, Manoel Galvao
AU - Yang, Wah
AU - Palermo, Mariano
AU - Ghanem, Omar M.
AU - Lainas, Panagiotis
AU - Peterli, Ralph
AU - Kassir, Radwan
AU - Puy, Ramon Vilallonga
AU - Da Silva Ribeiro, Rui José
AU - Verboonen, Sergio
AU - Pintar, Tadeja
AU - Shabbir, Asim
AU - Musella, Mario
AU - Kermansaravi, Mohammad
PY - 2023/12
Y1 - 2023/12
N2 - Background: Recent advancements in artificial intelligence, such as OpenAI’s ChatGPT-4, are revolutionizing various sectors, including healthcare. This study investigates the use of ChatGPT-4 in identifying suitable candidates for bariatric surgery and providing surgical recommendations to improve decision-making in obesity treatment amid the global obesity epidemic. Methods: We devised ten patient scenarios, thoughtfully encompassing a spectrum that spans from uncomplicated cases to more complex ones. Our objective was to delve into the decision-making process regarding the recommendation of bariatric surgery. From July 29th to August 10th, 2023, we conducted a voluntary online survey involving thirty prominent bariatric surgeons, ensuring that there was no predetermined bias in the selection of a specific type of bariatric surgery. This survey was designed to collect their insights on these scenarios and gain a deeper understanding of their professional experience and background in the field of bariatric surgery. Additionally, we consulted ChatGPT-4 in two separate conversations to evaluate its alignment with expert opinions on bariatric surgery options. Results: In 40% of the scenarios, disparities were identified between the two conversations with ChatGPT-4. It matched expert opinions in 30% of cases. Differences were noted in cases like gastrointestinal metaplasia and gastric adenocarcinoma, but there was alignment with conditions like endometriosis and GERD. Conclusion: The evaluation of ChatGPT-4’s role in determining bariatric surgery suitability uncovered both potential and shortcomings. Its alignment with experts was inconsistent, and it often overlooked key factors, emphasizing human expertise’s value. Its current use requires caution, and further refinement is needed for clinical application. Graphical Abstract: [Figure not available: see fulltext.]
AB - Background: Recent advancements in artificial intelligence, such as OpenAI’s ChatGPT-4, are revolutionizing various sectors, including healthcare. This study investigates the use of ChatGPT-4 in identifying suitable candidates for bariatric surgery and providing surgical recommendations to improve decision-making in obesity treatment amid the global obesity epidemic. Methods: We devised ten patient scenarios, thoughtfully encompassing a spectrum that spans from uncomplicated cases to more complex ones. Our objective was to delve into the decision-making process regarding the recommendation of bariatric surgery. From July 29th to August 10th, 2023, we conducted a voluntary online survey involving thirty prominent bariatric surgeons, ensuring that there was no predetermined bias in the selection of a specific type of bariatric surgery. This survey was designed to collect their insights on these scenarios and gain a deeper understanding of their professional experience and background in the field of bariatric surgery. Additionally, we consulted ChatGPT-4 in two separate conversations to evaluate its alignment with expert opinions on bariatric surgery options. Results: In 40% of the scenarios, disparities were identified between the two conversations with ChatGPT-4. It matched expert opinions in 30% of cases. Differences were noted in cases like gastrointestinal metaplasia and gastric adenocarcinoma, but there was alignment with conditions like endometriosis and GERD. Conclusion: The evaluation of ChatGPT-4’s role in determining bariatric surgery suitability uncovered both potential and shortcomings. Its alignment with experts was inconsistent, and it often overlooked key factors, emphasizing human expertise’s value. Its current use requires caution, and further refinement is needed for clinical application. Graphical Abstract: [Figure not available: see fulltext.]
KW - Artificial Intelligence
KW - Bariatric Evaluation
KW - Bariatric Surgery
KW - ChatGPT
KW - Health Literacy
KW - Language Learning Models
UR - http://www.scopus.com/inward/record.url?scp=85174936088&partnerID=8YFLogxK
U2 - 10.1007/s11695-023-06903-w
DO - 10.1007/s11695-023-06903-w
M3 - Article
C2 - 37889368
AN - SCOPUS:85174936088
SN - 0960-8923
VL - 33
SP - 3971
EP - 3980
JO - Obesity Surgery
JF - Obesity Surgery
IS - 12
ER -
