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 matters for studying mental well-being and social support. Prior work focused on using communication volume to estimate broad relationship categories, often with small samples. Here we contextualize communications by combining phone logs with demographic and location data to predict interpersonal r...
Medical artificial intelligence (AI) promotes technological revolution and industrial transformation in the medical field, and the medical level of orbital disease will also be improved with the in-depth development of AI diagnosis and treatment. The problems should be solved in the orbital disease AI research at the initial stage include: the complex knowledge system of orbital disease requires c...
Bullying events have frequently been the focus of coverage by news media, including news stories about teens whose death from suicide was attributed t...
The use of artificial intelligence (AI) in patient care can offer significant benefits. However, there is a lack of independent evaluation considering...
Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardiz...
In Japan, the revision of the Copyright Act and the Unfair Competition Prevention Act has been made toward the use of artificial intelligence (AI) and...
For patients with dementia and their family, artificial intelligence (AI) has been utilized to support diagnosis and evaluation. In addition, communic...
Tracking of medical devices can be used in diverse situations, e.g., training as well as image guidance for surgery and surgery planning. Therefore, p...
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphological characteristics show significant variations...
Causal structure learning is one of the most exciting new topics in the fields of machine learning and statistics. In many empirical sciences includin...
The World Health Organization defines Smart Healthcare as "Information and Communication Technology applications in the medical and health fields, inc...
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and ...
BACKGROUND: The Republic of Korea has become the most rapidly aging society and is anticipated to enter the post-aged society in 2026. As the populati...
Healthcare for older adults is a significant problem in Japan and in other developed countries. To address this problem, healthcare robots, now realiz...
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not comple...
Scientific findings over the past few decades have shaped our understanding of the underlying neurobiology associated with psychiatric illnesses. Howe...
Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional face-to-face psychological interventions could pote...
Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized meth...
MOTIVATION: Alternative splice site selection is inherently competitive and the probability of a given splice site to be used also depends on the stre...
Simulation of brain neurons in real-time using biophysically meaningful models is a prerequisite for comprehensive understanding of how neurons proces...