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Web-Based Immersive Patient Simulator as a Curricular Tool for Objective Structured Clinical Examination Preparation in Surgery: Development and Evaluation

Web-Based Immersive Patient Simulator as a Curricular Tool for Objective Structured Clinical Examination Preparation in Surgery: Development and Evaluation

In a recent study, we developed a proprietary IPS, ALICE (“Artificial Learning Interface of Clinical Education”), and proved it had a positive impact on clinical decision-making and student motivation [4].In this study, we wanted to develop a simulator-based

Seung-Hun Chon, Sabrina Hilgers, Ferdinand Timmermann, Thomas Dratsch, Patrick Sven Plum, Felix Berlth, Rabi Datta, Hakan Alakus, Hans Anton Schlößer, Christoph Schramm, Daniel Pinto dos Santos, Christiane Bruns, Robert Kleinert

JMIR Serious Games 2018;6(3):e10693

Influence of Social Media on Sexualized Drug Use and Chemsex Among Chinese Men Who Have Sex With Men: Observational Prospective Cohort Study

Influence of Social Media on Sexualized Drug Use and Chemsex Among Chinese Men Who Have Sex With Men: Observational Prospective Cohort Study

Studies have consistently shown that SDU and chemsex were associated with a higher risk of condomless anal intercourse (CAI), group sex, and fisting, resulting in a higher risk of HIV and other STIs [3,8,12].

Zixin Wang, Xue Yang, Phoenix K H Mo, Yuan Fang, Tsun Kwan Mary Ip, Joseph T F Lau

J Med Internet Res 2020;22(7):e17894

Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology

Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology

Each participant was coached to breath one full inhalation and exhalation in time with a visual prompt.An Alice PDx (Philips Respironics, Murrysville, PA) portable sleep diagnostic system was used to measure physiological signals during this study.

Joseph Prinable, Peter Jones, David Boland, Cindy Thamrin, Alistair McEwan

JMIR Mhealth Uhealth 2020;8(7):e13737

Impact of Social Determinants of Health and Demographics on Refill Requests by Medicare Patients Using a Conversational Artificial Intelligence Text Messaging Solution: Cross-Sectional Study

Impact of Social Determinants of Health and Demographics on Refill Requests by Medicare Patients Using a Conversational Artificial Intelligence Text Messaging Solution: Cross-Sectional Study

solution incorporated conversational AI (CAI) and natural language understanding (NLU) to provide a robust and successful interactive experience that ensures that the patient is able to request their refill as quickly and conveniently as possible.We performed

Rena Brar Prayaga, Ridhika Agrawal, Benjamin Nguyen, Erwin W Jeong, Harmony K Noble, Andrew Paster, Ram S Prayaga

JMIR Mhealth Uhealth 2019;7(11):e15771