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1.
Surg Endosc ; 38(5): 2320-2330, 2024 May.
Artículo en Inglés | MEDLINE | ID: mdl-38630178

RESUMEN

BACKGROUND: Large language model (LLM)-linked chatbots may be an efficient source of clinical recommendations for healthcare providers and patients. This study evaluated the performance of LLM-linked chatbots in providing recommendations for the surgical management of gastroesophageal reflux disease (GERD). METHODS: Nine patient cases were created based on key questions addressed by the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) guidelines for the surgical treatment of GERD. ChatGPT-3.5, ChatGPT-4, Copilot, Google Bard, and Perplexity AI were queried on November 16th, 2023, for recommendations regarding the surgical management of GERD. Accurate chatbot performance was defined as the number of responses aligning with SAGES guideline recommendations. Outcomes were reported with counts and percentages. RESULTS: Surgeons were given accurate recommendations for the surgical management of GERD in an adult patient for 5/7 (71.4%) KQs by ChatGPT-4, 3/7 (42.9%) KQs by Copilot, 6/7 (85.7%) KQs by Google Bard, and 3/7 (42.9%) KQs by Perplexity according to the SAGES guidelines. Patients were given accurate recommendations for 3/5 (60.0%) KQs by ChatGPT-4, 2/5 (40.0%) KQs by Copilot, 4/5 (80.0%) KQs by Google Bard, and 1/5 (20.0%) KQs by Perplexity, respectively. In a pediatric patient, surgeons were given accurate recommendations for 2/3 (66.7%) KQs by ChatGPT-4, 3/3 (100.0%) KQs by Copilot, 3/3 (100.0%) KQs by Google Bard, and 2/3 (66.7%) KQs by Perplexity. Patients were given appropriate guidance for 2/2 (100.0%) KQs by ChatGPT-4, 2/2 (100.0%) KQs by Copilot, 1/2 (50.0%) KQs by Google Bard, and 1/2 (50.0%) KQs by Perplexity. CONCLUSIONS: Gastrointestinal surgeons, gastroenterologists, and patients should recognize both the promise and pitfalls of LLM's when utilized for advice on surgical management of GERD. Additional training of LLM's using evidence-based health information is needed.


Asunto(s)
Inteligencia Artificial , Reflujo Gastroesofágico , Reflujo Gastroesofágico/cirugía , Humanos , Toma de Decisiones Clínicas , Adulto , Guías de Práctica Clínica como Asunto , Masculino
2.
Surg Obes Relat Dis ; 19(12): 1331-1338, 2023 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-37891102

RESUMEN

This position statement is issued by the American Society for Metabolic and Bariatric. Surgery in response to inquiries made to the Society by patients, physicians, Society members, hospitals, health insurance payors, the media, and others regarding the access and outcomes of metabolic and bariatric surgery for beneficiaries of Centers for Medicare and Medicaid Services. This position statement is based on current clinical knowledge, expert opinion, and published peer-reviewed scientific evidence available at this time. The statement is not intended to be and should not be construed as stating or establishing a local, regional, or national standard of care. This statement will be revised in the future as additional evidence becomes available.


Asunto(s)
Cirugía Bariátrica , Medicare , Anciano , Humanos , Estados Unidos , Centers for Medicare and Medicaid Services, U.S.
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