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Digital Health|November 12, 2024
To live or to stay alive? A thematic and sentiment analysis of public posts on social media during the 2022 Shanghai COVID-19 outbreakLixiong Chen, Nairui Xu
Digital Health|November 12, 2024
CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalitiesRashik Shahriar Akash, Radiful Islam, Sm Saiful Islam Badhon, et al.
Digital Health|November 11, 2024
Effective elements of eHealth interventions for mental health and well-being in children and adolescents: A systematic reviewEvelien Dietvorst, Lianne P de Vries, Stephanie van Eijl, et al.
Digital Health|November 5, 2024
What engagement strategies are useful in facilitating the implementation of electronic health records in health care settings? A rapid review of qualitative evidence synthesis using the normalization process theoryCampion Zharima, Samantha Mhlanga, Saira Abdulla, et al.
Digital Health|November 14, 2024
Digital health implementation in Australia: A scientometric review of the researchMichelle A Krahe, Sarah L Larkins, Nico Adams
Digital Health|November 13, 2024
Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departmentsOliver Higgins, Rhonda L Wilson, Stephan K Chalup
Digital Health|November 15, 2024
Facing the AI challenge in radiology: Lessons learned from a regional survey among Austrian radiologists in academic and non-academic settings on perceptions and expectations towards artificial intelligenceGabriel Adelsmayr, Michael Janisch, Maximilian Pohl, et al.
Digital Health|October 10, 2024
How online healthcare team evolve into organization: A social network analysisXiaoyan Ding, Xin Zhang, Wen Hao Wang, et al.
Digital Health|October 8, 2024
Breaking through diabetes management barriers: Assessing the accuracy of Freestyle Libre Pro flash continuous glucose monitoring in diabetes patients with myocardial infarctionLong Shen, Li Xu, Chen Zhang, et al.
Digital Health|October 7, 2024
Classification of underlying paroxysmal supraventricular tachycardia types using deep learning of sinus rhythm electrocardiogramsSoonil Kwon, Jangwon Suh, Eue-Keun Choi, et al.
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