Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Estimating the category and quality of interpersonal relationships from ubiquitous phone sensor data...
Medical artificial intelligence (AI) promotes technological revolution and industrial transformation...
Bullying events have frequently been the focus of coverage by news media, including news stories abo...
The use of artificial intelligence (AI) in patient care can offer significant benefits. However, the...
Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home...
In Japan, the revision of the Copyright Act and the Unfair Competition Prevention Act has been made ...
For patients with dementia and their family, artificial intelligence (AI) has been utilized to suppo...
Tracking of medical devices can be used in diverse situations, e.g., training as well as image guida...
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphol...
Causal structure learning is one of the most exciting new topics in the fields of machine learning a...
The World Health Organization defines Smart Healthcare as "Information and Communication Technology ...
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the...
BACKGROUND: The Republic of Korea has become the most rapidly aging society and is anticipated to en...
Healthcare for older adults is a significant problem in Japan and in other developed countries. To a...
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide...
Scientific findings over the past few decades have shaped our understanding of the underlying neurob...
Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional f...
Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess ...
MOTIVATION: Alternative splice site selection is inherently competitive and the probability of a giv...
Simulation of brain neurons in real-time using biophysically meaningful models is a prerequisite for...
This work was part of a National Institute for Health Research participatory action research and pra...