Latest AI and machine learning research in information technology for healthcare professionals.
BACKGROUND: High-resolution medical images that include facial regions can be used to recognize the ...
Although many clinical metrics are associated with proximity to decompensation in heart failure (HF...
To explore the feasibility of an automatic machine-learning algorithm-based quality control system f...
BACKGROUND: Application of Artificial Intelligence (AI) and the use of agent-based systems in the he...
BACKGROUND: Although federal regulations mandate documentation of structured race data according to ...
Enriching terminology base (TB) is an important and continuous process, since formal term can be ren...
For decades, biologists have relied on software to visualize and interpret imaging data. As techniqu...
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute r...
Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results ...
Electronic health record (EHR) data are widely used to perform early diagnoses and create treatment ...
Effective representation learning of electronic health records is a challenging task and is becoming...
INTRODUCTION: Trauma injury severity scores are currently calculated retrospectively from the electr...
This study aimed to investigate the needs of medical users of telemedicine robots to encourage inte...
The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedici...
BACKGROUND: Complex electronic medical records (EMRs) presenting large amounts of data create risks ...
Ambulatory monitoring is increasingly important for cardiovascular care but is often limited by the ...
BACKGROUND: The introduction of next-generation sequencing (NGS) into molecular cancer diagnostics h...
Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive d...
BACKGROUND: With cardiovascular disease increasing, substantial research has focused on the developm...
Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...
Currently, we are witnessing an increasing interest in predictive models and personalized diagnosis ...