We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …

Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

Background Procedural details of mechanical thrombectomy in patients with ischemic stroke
are important predictors of clinical outcome and are collected for prospective studies or …

Objectives Natural language processing (NLP) is a branch of artificial intelligence focused
on enabling computers to interpret and analyse text-based data. The intensive care specialty …

Radiology reports are a valuable source of textual information used to improve clinical care
and support research. In recent years, deep learning techniques have been shown to be …

Background Recent advances in natural language processing (NLP) have heightened the
interest of the medical community in its application to health care in general, in particular to …

Abstract Background: Professor FisherLs legacy, defined by meticulous observation,
curiosity, and profound knowledge, has established a foundational cornerstone in medical …

Background Large vessel occlusion (LVO) stroke research is limited regarding high-risk
patient groups for complications including cerebral edema. Large, well-phenotyped cohorts …

Abstract Background Abstracting cerebrovascular disease (CeVD) from inpatient electronic
medical records (EMRs) through natural language processing (NLP) is pivotal for automated …

Background: Natural language processing (NLP), a branch of artificial intelligence that
analyzes unstructured language, is being increasingly used in health care. However, the …