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Frontiers in Digital Health|July 10, 2026
Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagementXinKai Li, Chao Jing, ZhiFu Gong, et al.
Frontiers in Digital Health|June 24, 2026
Voice disorders classification using machine learning: a scoping reviewRijul Gupta, Craig T Jin, Dhanshree R Gunjawate, et al.
Frontiers in Digital Health|June 25, 2026
Digital health tools and point solutions-pitfalls in population health program measurementCarolyn Langer, James Shaw, Wiljeana Glover
Frontiers in Digital Health|June 25, 2026
Recognition and linking of discontinuous named entities in healthcare: a comparative performance analysisAreej Alhassan, Viktor Schlegel, Rina Carines Cabral, et al.
Frontiers in Digital Health|June 25, 2026
Performance of large language models in delivering accurate and comprehensible patient information on heart failure and cardiomyopathyChristoph Reich, Jule Leverenz, Charlotte Brand, et al.
Frontiers in Digital Health|June 26, 2026
From Engel's Bio-Psycho-Social model to the personalized health determinants model: a comprehensive framework and illustrative operationalization for precision healthNazanin Abbaspour, Mory Ghomshei, Ario Saeid Vaghefi, et al.
Frontiers in Digital Health|June 26, 2026
Trauma-informed conversational agents for mental health: understanding user perspectives and experiencesXintong Lu, Shion Guha, Rachel Pfafman, et al.
Frontiers in Digital Health|June 26, 2026
ChatGPT in healthcare: perceptions, ethical considerations, and practice implications among healthcare professionals in Ecuador and other countries in the Americas: a cross-sectional survey studyIvan Cherrez-Ojeda, Juan Carlos Gallardo-Bastidas, Marco Faytong-Haro, et al.
Frontiers in Digital Health|June 26, 2026
The sound of engagement: assessing the feasibility and acceptability of an AI-generated personalized podcast as a between-session resource for therapyEmily E Peake, Mackenzie S Swirbul, Michael J Rodio, et al.
Frontiers in Digital Health|November 1, 2021
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing CognitionWilliam Souillard-Mandar, Dana Penney, Braydon Schaible, et al.
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