Showing results (1191-1200 of 2,144) with videos related to

Sort By:
Pageof 215
Frontiers in Digital Health|January 10, 2022
Developing a Quality Benchmark for Determining the Credibility of Web Health Information- a Protocol of a Gold Standard ApproachLubna Daraz, Sheila Bouseh
Frontiers in Digital Health|September 16, 2022
Foundations for fairness in digital health appsTeodora Sandra Buda, João Guerreiro, Jesus Omana Iglesias, et al.
Frontiers in Digital Health|December 23, 2021
Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging ServiceZhaolu Liu, Robert L Peach, Emma L Lawrance, et al.
Frontiers in Digital Health|January 21, 2022
Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International ChallengeNiranjan J Sathianathen, Nicholas Heller, Resha Tejpaul, et al.
Frontiers in Digital Health|January 7, 2022
Envisioning Post-pandemic Digital Neurological, Psychiatric and Mental Health CareAmit Khanna, Graham B Jones
Frontiers in Digital Health|September 2, 2025
Unveiling practical insights of eHealth implementation in Europe: a grey literature review on legal, ethical, financial, and technological (LEFT) considerationsB E Bente, N Beerlage-de Jong, R M Verdaasdonk, et al.
Frontiers in Digital Health|September 3, 2025
"It's a good distraction from the mayhem of reality": a reflexive thematic analysis on the role of video games to support coping during a crisisGeorge Farmer, Nina Higson-Sweeney, Chris Fullwood
Frontiers in Digital Health|September 3, 2025
Electronic patient-reported outcome systems and capabilities in cancer care: a systematic reviewHosna Salmani, Somayeh Nasiri, Mahdi Alemrajabi, et al.
Frontiers in Digital Health|September 3, 2025
Evaluation of the HAL® lumbar type exoskeleton in long-term care: protocol for a mixed-methods feasibility studySebastian Hofstetter, Pascal Müller, Dominik Behr, et al.
Frontiers in Digital Health|August 16, 2021
Identifying elevated risk for future pain crises in sickle-cell disease using photoplethysmogram patterns measured during sleep: A machine learning approachYunhua Ji, Patjanaporn Chalacheva, Carol L Rosen, et al.
Pageof 215