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Frontiers in Digital Health|July 15, 2026
Real-world evidence on data quality in precision oncology platforms: insights from the Molecular Twin Research Umbrella protocolMichael Zuniga, Denis Marino, Yuan Yuan, et al.Frontiers in Digital Health|July 22, 2026
Profile-associated financial and access-related framing in LLM-generated pediatric asthma referral plans: a factorial audit of seven large language modelsZhendong Liu, Xiaoping Yang, Yu Zhang, et al.Frontiers in Digital Health|July 17, 2026
Correction: Influencing public acceptance of artificial intelligence (AI) in healthcare deliverySelin Aras, Calvin Drakos, Vineesha Manimangalam, et al.Frontiers in Digital Health|July 23, 2026
Large language models for promoting physical activity: a review of experiential and behavioral outcomes, social roles, and human-likeness in persuasive LLMsAlessandro Silacci, Arianna Boldi, Maurizio Caon, et al.Frontiers in Digital Health|July 23, 2026
Data-driven subphenotyping of severe ARDS patients requiring VV-ECMOMicha Landoll, Stephan Strassmann, Wolfram Windisch, et al.Frontiers in Digital Health|August 5, 2026
Evaluation of a hybrid asynchronous-synchronous delivery model for family intervention in psychosis: the psychosis REACH programSarah L Kopelovich, Jennifer Blank, Akansha Vaswani-Bye, et al.Frontiers in Digital Health|June 24, 2026
Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental schoolCeline Sheng, Camie McFarland, Nikola Angelov, et al.Frontiers in Digital Health|June 26, 2026
The EU AI Act: implications and compliance guidance for healthcare facilitiesFabio Dennstädt, Janna Hastings, Paul Windisch, et al.Frontiers in Digital Health|June 26, 2026
Artificial intelligence in undergraduate medical education clinical skills curricula: a scoping review of implementations since 2022Birpartap S Thind, Daryoush Javidi, Lisa M SchwartzFrontiers in Digital Health|June 22, 2026
Reducing bias and enhancing equity in AI-enabled precision nutrition: addressing measurement error across wearables, multiomics, and dietary dataAndi Mai, Yuanyuan Luan, See Ling Loy, et al.Pageof 210