Latest AI and machine learning research in information technology for healthcare professionals.
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...
Brain imaging is essential to the clinical care of patients with stroke, a leading cause of disabili...
OBJECTIVE: To develop a natural language processing (NLP) algorithm to abstract seizure types and fr...
BACKGROUND: Ontology matching should contribute to the interoperability aspect of FAIR data (Findabl...
OBJECTIVES: Systemic lupus erythematosus (SLE) is a heterogeneous disease characterized by disease f...
The Electronic Medical Record (EMR) provides an opportunity to manage patient care efficiently and a...
The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its a...
Postoperative patients are at risk of life-threatening complications such as hemodynamic decompensat...
Natural language processing (NLP) techniques for electronic health records have shown great potentia...
BACKGROUND: Developing predictive models for precision psychiatry is challenging because of unavaila...
Digital health, e-health, telemedicine-this abundance of terms illustrates the scientific and techni...
Machine-learning based risk prediction models have the potential to improve patient outcomes by asse...