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PLOS Digital Health|February 22, 2023
Artificial intelligence and machine learning in mobile apps for mental health: A scoping reviewMadison Milne-Ives, Emma Selby, Becky Inkster, et al.PLOS Digital Health|July 2, 2026
User engagement in the tuberculosis treatment support tools intervention and its impact on treatment outcomes: A secondary analysis of a pragmatic trialSarah J Iribarren, Jason Rupp, Jennifer Sprecher, et al.PLOS Digital Health|August 4, 2026
Acceptance and impact of Technology-Enabled Care (TEC) among community-dwelling older adults: A rapid reviewAbraham Sahilemichael Kebede, Ann-Marie Morrissey, Kevin Moore, et al.PLOS Digital Health|July 23, 2026
Digital phenotyping of CGM engagement reveals distinct glycemic outcomesBowen Zhang, Tomoki Okuno, Emma Li, et al.PLOS Digital Health|July 16, 2026
Machine learning-driven integration of 24-hour ambulatory blood pressure and its variabilityEvangelos Ntalianis, Everton Jose Santana, Nicholas Cauwenberghs, et al.PLOS Digital Health|July 23, 2026
Implementation outcomes of AI documentation support in routine clinical practice: A non-randomized controlled trialFelix A Heilmeyer, Lisa Lyssenko, Thomas Reinhard, et al.PLOS Digital Health|July 21, 2026
Youth health volunteers shaping the future of community-based digital healthAfzal Hussain, Rosnah SutanPLOS Digital Health|July 28, 2026
Toward universal representations of the living: Physiological invariance for transportable medical AIAlexandre ValléePLOS Digital Health|July 27, 2026
Validation is not enough: Longitudinal evidence of post-deployment fragility in clinical AI systemsGeorgy KopanitsaPLOS Digital Health|July 21, 2026
Artificial intelligence risk prediction model for common respiratory pathogens in China based on heterogeneous multi-source clinical and geographic data: A modeling studyHongyu Wang, Qianqian Zhang, Binhuang Sun, et al.Pageof 115