Objective This systematic literature review aims to demonstrate how Artificial Intelligence (AI)
is currently used in emergency departments (ED) and how it alters the work design of ED …

Motivation and objective: Emergency medicine is becoming a popular application area for
artificial intelligence methods but remains less investigated than other healthcare branches …

Background: Few studies have developed automatic systems for identifying social distress,
spiritual pain, and severe physical and phycological symptoms from text data in electronic …

The automatic extraction of procedural surgical knowledge from surgery manuals, academic
papers or other high-quality textual resources, is of the utmost importance to develop …

Natural language processing (NLP) is a wide range of techniques that allows computers to
interact with human text. Applications of NLP in everyday life include language translation …

Objectives To develop and externally validate machine learning models using structured
and unstructured electronic health record data to predict postoperative acute kidney injury …

Background Identifying patients at a high risk of psychosis relapse is crucial for early
interventions. A relevant psychiatric clinical context is often recorded in clinical notes; …

OBJECTIVE The purpose of this study was to develop natural language processing (NLP)–
based machine learning algorithms to automatically differentiate lumbar disc herniation …

Introduction Treating severely injured patients requires numerous critical decisions within
short intervals in a highly complex situation. The coordination of a trauma team in this setting …

Background This study aimed to use natural language processing to predict the presence of
intra-abdominal injury using unstructured data from electronic medical records. Methods …