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Digital Health|June 9, 2025
Bioethical implications of the use of digital technologies for mental health research during the social distancing period of the COVID-19 pandemicLiliana Mondragón-Barrios, Gabriela Martínez-Levy, Adriana Díaz-Anzaldúa, et al.
Digital Health|June 9, 2025
Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter studyMin He, Yongqi Lin, Siyu Ren, et al.
Digital Health|June 13, 2025
Motivators and barriers to the uptake of digital health platforms for family planning services in Lagos, Nigeria: A mixed-methods studyMohammed M Alhaji, Muhammad R Balarabe, David Atama, et al.
Digital Health|June 13, 2025
Answering real-world clinical questions using large language model, retrieval-augmented generation, and agentic systemsYen Sia Low, Michael L Jackson, Rebecca J Hyde, et al.
Digital Health|July 18, 2025
Digital health interventions for cancer-related cognitive impairment in breast cancer patients: A scoping reviewYing-Xiang Chen, You Zhou, Xiao-Lan Zhang, et al.
Digital Health|July 22, 2025
MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classificationHaonan Li, Vijay Govindarajan, Tan Fong Ang, et al.
Digital Health|July 22, 2025
Public perceptions of pharmacy services: Perceived importance and face-to-face preference across service stages in the era of digital healthDong-Wook Yang, Youran Noh, Kyung-Bok Son
Digital Health|July 14, 2025
The effect of chatbot-based exercise interventions on physical activity, exercise habits, and sedentary behavior: A systematic review and meta-analysis of randomized controlled trialsQian Wang, Wenxian Yang, Kai Xu, et al.
Digital Health|July 14, 2025
The perceived impacts of using dementia-friendly videos to support the psychosocial needs of people with moderate to severe dementia in care settings: A qualitative exploratory studyKaren Lok Yi Wong, Lillian Hung, Carly Wang, et al.
Digital Health|July 14, 2025
A participatory approach to deploy responsible artificial intelligence for diabetes prediction and preventionLaura C Rosella, James Shaw, Shion Guha, et al.
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