Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...
The 2019 novel coronavirus(COVID-19) spreads rapidly, and the large-scale infection leads to the lac...
Traditional screening of cervical cancer type classification majorly depends on the pathologist's ex...
BACKGROUND: Less experienced clinicians sometimes make misdiagnosis of hip fractures. We developed c...
An individualized innovative disease management is of great importance for people with multiple scle...
Although progress is being made in affective computing, issues remain in enabling the effective expr...
The opportunistic exchange of information between vehicles can significantly contribute to reducing ...
The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of epilepsy...
Sensor technologies and data collection practices are changing and improving quality metrics across...
Although digoxin is important in heart rate control, the utilization of digoxin is declining due to ...
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial a...
BACKGROUND: Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is...
OBJECTIVES: Misdiagnosis of acute and chronic otitis media in children can result in significant con...
Machine Learning (ML) is on the rise in medicine, promising improved diagnostic, therapeutic and pro...
Online healthcare consultation offers people a convenient way to consult doctors. In this paper, we ...
Injuries have become devastating and often under-recognized public health concerns. In Canada, injur...
With the development of the economy and technology, people's requirement for communication is also i...
Forecasting patients' disease progressions with rich longitudinal clinical data has drawn much atten...
BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others ...
Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-tr...
In this work, we developed and validated a computer method capable of robustly detecting drill break...