Latest AI and machine learning research in information technology for healthcare professionals.
Pain is a significant public health problem, affecting millions of people in the USA. Evidence has h...
Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients....
BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of m...
The potential  of telemedicine in respiratory health care has not been completely unveiled in part d...
The past decade has seen an explosion in the amount of digital information stored in electronic heal...
BACKGROUND: Semantic interoperability is essential when carrying out post-genomic clinical trials wh...
BACKGROUND: Knowledge representation frameworks are essential to the understanding of complex biomed...
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. D...
BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doct...
Vast amounts of clinically relevant text-based variables lie undiscovered and unexploited in electro...
With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical da...
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but a...
BACKGROUND: Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications,...
BACKGROUND: Automated methods for identifying clinically relevant new versus redundant information i...
With the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent di...
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning al...
BACKGROUND: Ontologies and controlled terminologies have become increasingly important in biomedical...
OBJECTIVE: An accurate, comprehensive and up-to-date problem list can help clinicians provide patien...
Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amou...
Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tubercu...
In data-driven phenotyping, a core computational task is to identify medical concepts and their vari...