Latest AI and machine learning research in information technology for healthcare professionals.
Early identification of resource needs is instrumental in promoting efficient hospital resource mana...
Effective and timely disease surveillance systems have the potential to help public health officials...
Lack of standardized representation of natural language processing (NLP) components in phenotyping a...
The wide adoption of Electronic Health Records (EHR) has resulted in large amounts of clinical data ...
HL7 Fast Healthcare Interoperability Resources (FHIR) is one of the current data standards for enabl...
It is well known that information technology (IT) can play a pivotal role in enhancing healthcare qu...
Hypertrophic Cardiomyopathy (HCM) is the most common genetic heart disease in the US and is known to...
Maintaining a high quality of conversation between doctors and patients is essential in telehealth s...
Early prediction of patient outcomes is important for targeting preventive care. This protocol descr...
Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...
Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administ...
Electronic health records (EHR) contain large volumes of unstructured text, requiring the applicatio...
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very...
Coronary artery disease (CAD) is the major cause of human death worldwide. The development of new CA...
OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clini...
Decision-making in fertility care is on the cusp of a significant frameshift. Online tools to integr...
The field of immunology is rapidly progressing toward a systems-level understanding of immunity to t...
Understanding a patient's medical history, such as how long symptoms last or when a procedure was pe...
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
Rising rates of NCDs threaten fragile healthcare systems in low- and middle-income countries. Fortun...
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We s...