Impact Factor:12.4 SCIMAGO SJR:4.273 SCIMAGO H-index:84 Research Ranking(Engineering and Technology)344 Research Ranking(Medicine)328 Number of Best scientists*:22 Documents by best scientists*:31 Journal Information ISSN:2398-6352 Publisher: ...
Explore digital health in npj Digital Medicine, an open access journal with 12.4 Impact Factor and 5 days to first decision.
Digital health technologies provide opportunities to transform the delivery of clinical care and optimize clinical research. The transformation of healthcare has been accelerated during the COVID pandemic as patients increasingly wish to utilize remote or telemedicine tools19. To realize the benefits of ...
Mobile health applications (“apps”) have rapidly proliferated, yet their ability to improve outcomes for patients remains unclear. A validated tool that addresses apps’ potentially important dimensions has not been available to patients and clinicians
Here we used a vigilance task as our primary cognitive outcome measure to assess the intervention’s impact on attention abilities. This task was a customized Continuous Performance Task (CPT), which is a modified version of a well-validated sustained attention task, the Test of Variables of Att...
On the other hand, some scholars have investigated actual cases from a micro perspective. They demonstrated the intrinsic mechanism of tourism's impact on intangible cultural heritage. From the perspective of cultural transmission and change, Catherine Namono discusses how digital technology has helped ...
paying attention to the relationship between the location of the mural and its pictorial content to ensure that all parts of the ancestral halls are adequately considered; (2) Consider introducing multivariate data analysis to more fully assess the impact of the cultural, historical, and social cont...
There is currently very limited precedent for digital health-related malpractice claims, however errors in diagnosis appear to be the most common cause of claim directly related to the increased use of telehealth platforms, with challenges in communication cited as a potential causal factor. Table 1...
Develop reusable assets for digital mental health studies starting with common APIs and endpoints 3. Identify the common ground between device manufacturers, academics, clinicians, and users a. Define highest potential impact areas for sensor development b. Establish protocols for ensuring privacy of...
One of the most critical parts of an AI is the quality of its training data since it has fundamental impact on the resulting system. It lays the foundation and inherently provides limitations for the AI application. If the data used for training a model is bad, the resulting AI will be ...