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Digital Health|August 21, 2026
Mobilizing participation: The first German stakeholder conference on engaging patients and self-help organizations in digital health researchPaula Nadler, Manuel Schaper, Thomas M Duda, et al.Digital Health|August 30, 2026
Short-term BMI changes associated with self-selected weight-control dietary patterns among Chinese office-based adults using a digital health platform: An exploratory real-world observational studyGuyanan Li, Siqi Wang, Chunyan Liu, et al.Digital Health|August 28, 2026
Learner experiences of a carer-focused massive open online course on psychosis: A qualitative studyKalya Win Aung, Angela Kibia, Juliana OnwumereDigital Health|August 28, 2026
Trends and research clusters in artificial intelligence-assisted ultrasound-guided regional anesthesia: A bibliometric analysisXuewen Lu, Xiaodong Qiu, Jiuyu JiDigital Health|September 10, 2026
Dynamic alignment of large language models for evidence-grounded heart failure decision supportLu Liu, Chenchen Dong, Yunbo Ba, et al.Digital Health|September 2, 2026
Working under pressure: How virtual reality and psychoeducation shape stress and moral distress responses in nursesKarisa Parkington, Marianne Rouleau-Tang, Amit Bhat, et al.Digital Health|September 10, 2026
Experiences of using the DiabeText mobile text messaging intervention to support diabetes self-management for people living with type 2 diabetes: Post-hoc process evaluationRocío Zamanillo-Campos, Xènia Chela-Álvarez, Esperança Maria Mateu-Estrany, et al.Digital Health|September 10, 2026
Global research landscape, hotspots, and emerging trends of digital biomarkers: A bibliometric analysisYufei Tian, Xin Tian, Zheng Li, et al.Digital Health|September 10, 2026
Experiences of an internet-based rehabilitation program: An interview study among individuals with chronic whiplash-associated disordersAnna Hermansen, Gunnel Peterson, Anneli Peolsson, et al.Digital Health|September 10, 2026
The relationship between prognostic nutritional index and in-hospital mortality in patients with severe coronary heart disease: A multicenter retrospective cohort study and predictive model based on machine learningCaiping Tang, Yulai Wu, Lin Xie, et al.Pageof 370