Latest AI and machine learning research in information technology for healthcare professionals.
Extracting and structuring relevant clinical information from electronic health records (EHRs) remai...
Healthcare-associated infections (HAIs) from multi-drug resistant organisms (MDROs) pose a signif-ic...
Predictive models of suicide risk have focused on predictors extracted from structured data found in...
This scoping review aims to identify and understand the role of artificial intelligence in the appli...
Identifying clusters of people with similar patterns of Multiple Long-Term Conditions (MLTC) could h...
Variation in medical practices and reporting standards across healthcare systems limits the transfer...
Electronic health records (EHRs) contain multimodal data that can inform diagnostic and prognostic c...
This study constructs an acupuncture knowledge graph (AcuKG) to systematically organize and represen...
Though electronic health record (EHR) systems are a rich repository of clinical information with lar...
Large language models (LLMs) have emerged as transformative technologies, revolutionizing natural la...
Electronic Health Records (EHRs) sampled from different populations can introduce unwanted bi-ases, ...
Chagas disease affects 6–7 million people worldwide and causes approximately 12,000 deaths annually....
Physicians, particularly intensivists, face information overload and decision fatigue, underscoring ...
Inflammatory bowel disease (IBD) research is a dynamic field. However, the growing volume of electro...
The integration of artificial intelligence (AI) into the management of chronic obstructive pulmonary...
Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threaten...
Adverse drug events (ADEs) in pediatric populations pose significant public health challenges, yet r...
Around 80% of electronic health record (EHR) data consists of unstructured medical language text. Th...
Implementing machine learning models to identify clinical deterioration on the wards is associated w...
The accurate annotation of biomedical entities in scientific articles is essential for effective met...
Guidance is lacking on choice of first-line antipsychotic for individuals with incident severe menta...