Showing results (2701-2710 of 3,671) with videos related to

Sort By:
Pageof 368
Digital Health|May 27, 2026
Development and feasibility of a metaverse-based program for health care transition and quality of life in adolescents with spina bifida: A pilot studyHooyun Lee, Hyeseon Yun, Kyua Kim, et al.
Digital Health|May 25, 2026
Predicting time to clearance of sport-related concussions using machine learningMegan Tran, Jessica Holler, Byron Moran, et al.
Digital Health|May 26, 2026
Allied health professional attitudes toward artificial intelligence in healthcare: A UK cross-sectional surveyJoanne Marley, Katy Pedlow, Suzanne Martin, et al.
Digital Health|May 15, 2026
Factors shaping the adoption of large language models among hospital administrative staff: A cross-sectional survey studyXuepeng Du, Chunqing Ling, Lan Yang, et al.
Digital Health|May 15, 2026
Multi-strategy feature selection and multi-model machine learning for prognostic prediction in primary gastric diffuse large B-cell lymphomaJingjie Lin, Hanlei Wang, Huirong Lin, et al.
Digital Health|May 11, 2026
Smartphone-based ecological momentary assessment for mild cognitive impairment: A feasibility study of measuring mood and stress responses in everyday settingRose Lin, Sara Laureen Bartels, Jing Jing Su, et al.
Digital Health|May 12, 2026
Artificial intelligence in Malaysian health practice: Perspectives from allied health professionalsTiffany Wen Ying Chan, Shin Ying Chu, Jyh Eiin Wong, et al.
Digital Health|May 4, 2026
Implementing an electronic health record system in a tertiary care surgical oncology setup - A mixed method analysisAmila Prathibha Nellihela, Shamika Kavindi Gunaratne, Vathsal Chinathaka Bandaranayake, et al.
Digital Health|May 4, 2026
Explainable machine learning for predicting disease flares in axial spondyloarthritis: A real-world electronic health record-based pilot studyAntoni Chan, Pradip Moon, Weizi Li, et al.
Digital Health|April 14, 2026
Investigating the barriers to uptake and utilization of overdose response hotlines and apps: A study based on data from a national surveyBoogyung Seo, Nathan Rider, Dylan Viste, et al.
Pageof 368