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Digital Health|April 11, 2024
Exploring the use, usefulness and ease of use of digital occupational health services: A descriptive correlational study of customer experiencesSari Nissinen, Sanna Pesonen, Pauliina Toivio, et al.
Digital Health|January 25, 2024
Macro-engagement in mHealth: Exploring user engagement beyond the screenCamila Villegas Mejía, Danielle Remmerswaal, Rutger C M E Engels, et al.
Digital Health|February 7, 2024
Digital learning about patients: An online survey of German medical students investigating learning strategies for family medical video consultationsFranziska Särchen, Susanne Springborn, Achim Mortsiefer, et al.
Digital Health|January 22, 2024
Development of blood demand prediction model using artificial intelligence based on national public big dataHi Jeong Kwon, Sholhui Park, Young Hoon Park, et al.
Digital Health|February 2, 2024
The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular diseaseTheodora Tacke, Pascal Nohl-Deryk, Neelam Lingwal, et al.
Digital Health|January 29, 2024
Acceptability of the Long-Term In-Home Ventilator Engagement virtual intervention for home mechanical ventilation patients during the COVID-19 pandemic: A qualitative evaluationCraig M Dale, Munazzah Ambreen, Sohee Kang, et al.
Digital Health|January 29, 2024
Comparison of digital recruitment strategies for Alzheimer's disease patientsCarlos Perez-Heydrich, Courtney Walker, Macie Pile, et al.
Digital Health|January 18, 2024
Usability study of SOSteniamoci: An internet-based intervention platform to support informal caregivers in ItalyMichelle Semonella, Gloria Marchesi, Gerhard Andersson, et al.
Digital Health|September 9, 2024
A feasibility study on utilizing machine learning technology to reduce the costs of gastric cancer screening in Taizhou, ChinaSi-Yan Yan, Xin-Yu Fu, Shen-Ping Tang, et al.
Digital Health|September 9, 2024
Chinese colposcopists' attitudes toward the colposcopic artificial intelligence auxiliary diagnostic system (CAIADS): A nation-wide, multi-center surveyHuike Wang, Zichen Ye, Peiyu Zhang, et al.
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