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Performance of Large Language Models in Numerical Versus Semantic Medical Knowledge: Cross-Sectional Benchmarking Study on Evidence-Based Questions and Answers

Eden Avnat, Michal Levy, Daniel Herstain, Elia Yanko, Daniel Ben Joya, Michal Tzuchman Katz, Dafna Eshel, Sahar Laros, Yael Dagan, Shahar Barami, Joseph Mermelstein, Shahar Ovadia, Noam Shomron, Varda Shalev, Raja-Elie E Abdulnour

J Med Internet Res 2025;27:e64452

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Pilot Implementation of HIV Self-Testing Delivery in Private Pharmacies Combined With a Respondent-Driven Sampling Method to Improve HIV Testing for Men Who Have Sex With Men and Transgender Women in Phnom Penh (ANRS 0100s): Protocol for a Prospective Mixed Method Feasibility Study

Chhavarath Dary, Olivier Ségéral, Joseph Larmarange, Emilie Mosnier, Mohamed Ben Mechlia, Vichea Ouk, Bruno Spire, Vonthanak Saphonn

JMIR Res Protoc 2025;14:e65351

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Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study

Therefore, future work should consider sampling data more frequently based on smaller time intervals to capture more detailed and fine-grained insights into swipe and gameplay behaviors. Finally, the findings from this study also set a precedent for future work involving machine learning algorithms to develop predictive models using mobile gameplay data that could potentially predict anxiety and depression scores.

Vibhav Chitale, Julie D Henry, Ben Matthews, Vanessa Cobham, Nilufar Baghaei

JMIR Ment Health 2025;12:e70577

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