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Background And Aim: Managing obesity requires a comprehensive approach that involves therapeutic lifestyle changes, medications, or metabolic surgery. Many patients seek health information from online sources and artificial intelligence models like ChatGPT, Google Gemini, and Microsoft Copilot before consulting health professionals. This study aims to evaluate the appropriateness of the responses of Google Gemini and Microsoft Copilot to questions on pharmacologic and surgical management of obesity and assess for bias in their responses to either the ADA or AACE guidelines.

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Recurrent aphthous stomatitis (RAS) is one of mankind's most common diseases with a nonspecific etiology. Lasers are gaining traction in dentistry due to their remarkable effects on pain reduction. Their convenience and lack of side effects have made them an attractive alternative to conventional interventions.

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The ejaculatory reflex consists of emission and expulsion, with the latter involving rhythmic muscular contractions that propel seminal fluid. Botulinum toxin, through its inhibitory effects, has been hypothesized to improve premature ejaculation (PE). This study evaluates high-quality evidence on botulinum toxin-A injections into the bulbospongiosal muscle as a treatment for PE.

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The biopharmaceutical industry has witnessed significant growth in the development and approval of biosimilars. These biosimilars aim to provide cost-effective alternatives to expensive originator biosimilars, alleviating financial pressures within healthcare. The manufacturing of biosimilars is a highly complex process that involves several stages, each of which must meet strict regulatory standards to ensure that the final product is highly similar to the reference biologic.

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Urinary tract infections (UTIs) often prompt empiric outpatient antibiotic prescriptions, risking mismatches. This study evaluates the impact of "UTI Smart-Set" (UTIS), an AI-driven decision-support tool, on prescribing patterns and mismatches in a large outpatient organization. UTIS integrates machine learning forecasts of antibiotic resistance, patient data, and guidelines into a user-friendly order set for UTI management.

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