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Evaluating the Feasibility of ChatGPT-4 as a Knowledge Resource in Bariatric Surgery: A Preliminary Assessment.

Obes Surg

January 2025

Research Center of Anesthesiology, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.

This study evaluates the feasibility of ChatGPT-4 as a knowledge resource in bariatric surgery. Using a problem set of 30 questions covering key aspects of bariatric care, responses were reviewed by three bariatric surgery experts. ChatGPT-4 achieved strong performance, with 50% of responses scoring the highest possible rating for alignment with clinical guidelines.

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Background: Invasive fungal sinusitis (IFS) can present as a mild disease to life-threatening infection. A recent surge in cases was seen due to the coronavirus disease 2019 (COVID-19) pandemic. Many patients require surgical debridement and hence imaging [contrast-enhanced computed tomography (CECT) of the paranasal sinuses (PNS)] to document the extent of the disease.

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Background: There is no strong evidence demonstrating whether or not aerobic exercise in conjunction with resistance exercise improves metabolic diabetes markers in postmenopausal women.

Objective: To evaluate the effect of aerobic exercise and resistance training on metabolic markers in postmenopausal women with type 2 diabetes mellitus (T2DM) by means of a systematic review and meta-analysis.

Methods: The searches were completed using EMBASE, MEDLINE/PubMed, Scopus and Web of Science databases.

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Renal disease is common in patients with cardiovascular disease (CVD) and is associated with adverse outcomes. Cardiac magnetic resonance (CMR) with advanced mapping techniques is the gold standard for characterizing myocardial tissue, and renal tissue is often visualized on these maps. However, it remains unclear whether renal T1 times accurately reflect renal dysfunction or predict adverse outcomes.

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Background: The known and established benefits of exercise in patients with heart failure (HF) are often hampered by low exercise adherence. Mobile health (mHealth) technology provides opportunities to overcome barriers to exercise adherence in this population.

Objective: This systematic review builds on prior research to (1) describe study characteristics of mHealth interventions for exercise adherence in HF including details of sample demographics, sample sizes, exercise programs, and theoretical frameworks; (2) summarize types of mHealth technology used to improve exercise adherence in patients with HF; (3) highlight how the term "adherence" was defined and how it was measured across mHealth studies and adherence achieved; and (4) highlight the effect of age, sex, race, New York Heart Association (NYHA) functional classification, and HF etiology (systolic vs diastolic) on exercise adherence.

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