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Virtual Reality for Pediatric Postoperative Pain Management: Exploring Methods and Efficacy

Sidhant Kalsotra, Dillon Froass, Aneesha Gupta, Sebastian Amaya, Joseph D Tobias, Vanessa A Olbrecht

J Med Internet Res 2025;27:e68348

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Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed Methods Analysis

Analay Perez, Rae Sakakibara, Srikar Baireddy, Michael D Fetters, Timothy C Guetterman

JMIR Form Res 2025;9:e59328

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Guidelines for Rapport-Building in Telehealth Videoconferencing: Interprofessional e-Delphi Study

Paula D Koppel, Jennie C De Gagne, Michelle Webb, Denise M Nepveux, Janelle Bludorn, Aviva Emmons, Paige S Randall, Neil S Prose

JMIR Med Educ 2025;11:e76260

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Classifying Patient Complaints Using Artificial Intelligence–Powered Large Language Models: Cross-Sectional Study

Sky Wei Chee Koh, Eunice Rui Ning Wong, John Chong Min Tan, Stephanie C C van der Lubbe, Jun Cong Goh, Ethan Sheng Yong Ching, Ian Wen Yih Chia, Si Hui Low, Ping Young Ang, Queenie Quek, Mehul Motani, Jose M Valderas

J Med Internet Res 2025;27:e74231

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Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

FHIR builds upon its predecessor, the HL7 Consolidated Clinical Document Architecture (C-CDA) [25], a document-based standard used to capture a “point-in-time” snapshot of a consumer health record. Unlike C-CDA, FHIR uses modern web technology, such as RESTful APIs, JSON, and XML to enable consistent data exchange. Importantly, FHIR APIs allow for “real-time” data exchange through their discrete resource design.

James C

J Particip Med 2025;17:e68261

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Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health

Reference 59: New creatinine- and cystatin c-based equations to estimate GFR without race

Martin C Were, Ang Li, Bradley A Malin, Zhijun Yin, Joseph R Coco, Benjamin X Collins, Ellen Wright Clayton, Laurie L Novak, Rachele Hendricks-Sturrup, Abiodun O Oluyomi, Shilo Anders, Chao Yan

J Med Internet Res 2025;27:e73996

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Factors Associated With Portal and Telehealth Uptake and Use in a Minoritized, Low-Income Community: Mixed Methods Study

Robin T Higashi, Emily C Repasky, Antara Gupta, MinJae Lee, Catherine M DesRoches, Aimee Israel, Sandi L Pruitt

JMIR Form Res 2025;9:e70146

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Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem

The T1 D consortium has received a qualification opinion from the European Medicines Agency on the use of islet autoantibodies as enrichment biomarkers [54], participation in the workshop for outlining the path for using tumor necrosis factor-alpha (TNF-α) inhibitors in pivotal clinical trials in T1 D [55], and supported evidence generation for the use of C-peptide as a surrogate end point in clinical trials [56].

Sakshi Sardar, Cheryl D Coon, Scottie Kern, Huong Huynh, Diane Stephenson, Joshua Rubin Abrams, Grace V Lee, Cecile Ollivier, Joseph A Hedrick, Martijn LTM Müller, Luc J W Evers, Lada Leyens, Collin Hovinga, Shu Chin Ma, Klaus Romero