Objective: The aim of this review was to summarize major topics in artificial intelligence (AI),
including their applications and limitations in surgery. This paper reviews the key …

Artificial intelligence has been advancing in fields including anesthesiology. This scoping
review of the intersection of artificial intelligence and anesthesia research identified and …

This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Candidate gene and genome-wide association studies (GWAS) have identified genetic
variants that modulate risk for human disease; many of these associations require further …

Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …

Clinical data describing the phenotypes and treatment of patients represents an underused
data source that has much greater research potential than is currently realized. Mining of …

Abstract Background Electronic medical records (EMRs) are revolutionizing health-related
research. One key issue for study quality is the accurate identification of patients with the …

Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …

Computerized clinical decision support (CDS) aims to aid decision making of health care
providers and the public by providing easily accessible health-related information at the …