Latest AI and machine learning research in information technology for healthcare professionals.
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...
Technology has advanced rapidly in recent years and is continuing to do so, with associated changes ...
BACKGROUND: Allowing patients to access their own electronic health record (EHR) notes through onlin...
Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help preven...
BACKGROUND: Diagnostic accuracy might be improved by algorithms that searched patients' clinical not...
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge w...
Exponential surge in health care data, such as longitudinal data from electronic health records (EHR...
An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by p...
Natural Language Processing (NLP) is essential for concept extraction from narrative text in electro...
Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality...
PURPOSE: Telemedicine is increasingly utilized in the evaluation of critically ill patients, includi...
OBJECTIVE: This retrospective case series study of the effectiveness of electroconvulsive therapy (E...
Interoperability across data sets is a key challenge for quantitative histopathological imaging. The...