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1.
Obes Surg ; 34(7): 2718-2724, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38758515

ABSTRACT

BACKGROUND AND AIMS: The Chat Generative Pre-Trained Transformer (ChatGPT) represents a significant advancement in artificial intelligence (AI) chatbot technology. While ChatGPT offers promising capabilities, concerns remain about its reliability and accuracy. This study aims to evaluate ChatGPT's responses to patients' frequently asked questions about Endoscopic Sleeve Gastroplasty (ESG). METHODS: Expert Gastroenterologists and Bariatric Surgeons, with experience in ESG, were invited to evaluate ChatGPT-generated answers to eight ESG-related questions, and answers sourced from hospital websites. The evaluation criteria included ease of understanding, scientific accuracy, and overall answer satisfaction. They were also tasked with discerning whether each response was AI generated or not. RESULTS: Twelve medical professionals with expertise in ESG participated, 83.3% of whom had experience performing the procedure independently. The entire cohort possessed substantial knowledge about ESG. ChatGPT's utility among participants, rated on a scale of one to five, averaged 2.75. The raters demonstrated a 54% accuracy rate in distinguishing AI-generated responses, with a sensitivity of 39% and specificity of 60%, resulting in an average of 17.6 correct identifications out of a possible 31. Overall, there were no significant differences between AI-generated and non-AI responses in terms of scientific accuracy, understandability, and satisfaction, with one notable exception. For the question defining ESG, the AI-generated definition scored higher in scientific accuracy (4.33 vs. 3.61, p = 0.007) and satisfaction (4.33 vs. 3.58, p = 0.009) compared to the non-AI versions. CONCLUSIONS: This study underscores ChatGPT's efficacy in providing medical information on ESG, demonstrating its comparability to traditional sources in scientific accuracy.


Subject(s)
Gastroplasty , Obesity, Morbid , Humans , Gastroplasty/methods , Obesity, Morbid/surgery , Reproducibility of Results , Artificial Intelligence , Female , Male , Bariatric Surgery
2.
Obes Surg ; 33(12): 4042-4048, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37922061

ABSTRACT

INTRODUCTION: Gastrojejunal anastomosis (GJA) dilation is an independent predictor of weight regain (WR) after Roux-en-Y gastric bypass (RYGB). However, the role of planimetric measurements in this context remains unknown. METHODS: This is a retrospective cohort study including adult RYGB patients who underwent a diagnostic endoscopy with Endoflip assessment of the GJA. We excluded patients in the early postoperative period and those with abnormal endoscopic findings (marginal ulcers and gastro-gastric fistulas). RESULTS: Thirty-four patients were initially included. Endoscopic GJA diameter had a moderate positive correlation with WR (r=+0.438, p=0.011). However, after excluding the 7 patients with GJA> 30 mm, there was no significant correlation. There was a moderate agreement between the EndoFLIP-GJA diameter at 60mL and endoscopic diameter (ICC=0.576, p=0.049). The distensibility index (DI) showed a consistent moderate negative correlation with WR. Considering the maximum DI at 40 ml, we found a cutoff of DI = 7 mm2/mmHg that split the sample in two significantly different populations in terms of WR (67.4% vs. 43.2%, p=0.04). CONCLUSION: Visual estimation of the GJA diameter correlates with EndoFLIP at 60mL. In the subset of patients with GJA ≤ 30 mm, more distensible GJAs are associated with lower rates of WR. Larger studies are needed to confirm this correlation and to validate its utility for clinical management.


Subject(s)
Gastric Bypass , Obesity, Morbid , Adult , Humans , Obesity, Morbid/surgery , Weight Gain , Retrospective Studies , Endoscopy , Reoperation , Anastomosis, Roux-en-Y , Treatment Outcome
3.
Endosc Int Open ; 11(8): E735, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37564329
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