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 …

The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Objective This article summarizes the preparation, organization, evaluation, and results of
Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on …

Context Currently most automated methods to identify patient safety occurrences rely on
administrative data codes; however, free-text searches of electronic medical records could …

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 …

Named entity recognition is a crucial component of biomedical natural language processing,
enabling information extraction and ultimately reasoning over and knowledge discovery …

Clinical documentation is central to patient care. The success of electronic health record
system adoption may depend on how well such systems support clinical documentation. A …

Introduction This work describes the Medication and Adverse Drug Events from Electronic
Health Records (MADE 1.0) corpus and provides an overview of the MADE 1.0 2018 …

XXI a. pirmojo dešimtmečio pradžioje D. Kahneman su kolegomis (A. Tversky ir kt.) sukūrė
kognityvinių euristikų veikimo mechanizmų teoriją (euristinio veikimo modelį). Po to buvo …

The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug
events (ADEs) with pharmaceutical products. This article is a comprehensive structured …