Latest AI and machine learning research in information technology for healthcare professionals.
Electronic health records (EHRs) have created great opportunities to collect various information fro...
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratificat...
BACKGROUND: Accurate precision approaches have far not been developed for modeling mortality risk in...
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. ...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enth...
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease characterized by flares ran...
The selection of patients for the constitution of a cohort is a major issue for clinical research (p...
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become a...
BACKGROUND: In disease areas with 'soft' outcomes (i.e., the subjective aspects of a medical conditi...
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cogn...
The fourth paradigm of science has achieved great success in material discovery and it highlights th...
BACKGROUND: Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI...
OBJECTIVE: Electronic Health Record (EHR) based phenotyping is a crucial yet challenging problem in ...
The emergence of large-scale human genome projects, advances in DNA sequencing technologies, and the...
Vancomycin is a commonly used antimicrobial in hospitals, and therapeutic drug monitoring (TDM) is r...
Deep learning technology is changing the landscape of cybersecurity research, especially the study o...
The vast and ever-growing volume of electronic health records (EHR) have generated a wealth of infor...
One unintended consequence of the Electronic Health Records (EHR) implementation is the overuse of c...
OBJECTIVE: To develop a natural language processing (NLP) algorithm to abstract seizure types and fr...
Brain imaging is essential to the clinical care of patients with stroke, a leading cause of disabili...
BACKGROUND: Ontology matching should contribute to the interoperability aspect of FAIR data (Findabl...