Latest AI and machine learning research in information technology for healthcare professionals.
Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to ...
PURPOSE: Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This has importan...
Use of prescription opioids and problems of abuse and addiction have increased over the past decade....
OBJECTIVE: Radiology reports are rich resources for biomedical researchers. Before utilization of ra...
Current approaches to predicting a cardiovascular disease (CVD) event rely on conventional risk fact...
BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to asse...
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect o...
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that...
BACKGROUND: The optical accessibility of the eye and technological advances in ophthalmic diagnostic...
The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly,...
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...
Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to ...
BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the m...
PURPOSE: The purpose of this study was to compare the effectiveness of ensemble methods (e.g., rando...
BACKGROUND: There has been an increasing interest in learning low-dimensional vector representations...
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluat...
Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; there...
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has impo...
Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A bet...
Manually annotated clinical corpora are commonly used as the gold standards for the training and eva...
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...