Background Racial bias is a key concern regarding the development, validation, and
implementation of machine learning (ML) models in clinical settings. Despite the potential of …

Despite improved ancillary investigations in epilepsy care, patients' narratives remain
indispensable for diagnosing and treatment monitoring. This wealth of information is …

Keywords: epilepsy; machine learning; language model EN epilepsy machine learning
language model 1195 1199 5 05/11/23 20230501 NES 230501 Epilepsy is a neurological …

Natural language processing (NLP) is rapidly becoming an important topic in the medical
community. The ability to automatically analyze any type of medical document could be the …

Objective: Clinical applications of machine learning are promising as a tool to improve
patient outcomes through assisting diagnoses, treatment, and analyzing risk factors for …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

The anesthesiologist's role has expanded beyond the operating room, and anesthesiologist-
led care teams can deliver coordinated care that spans the entire surgical experience, from …

Objective Delay to resective epilepsy surgery results in avoidable disease burden and
increased risk of mortality. The objective was to prospectively validate a natural language …

Objective To determine whether automated, electronic alerts increased referrals for epilepsy
surgery. Methods We conducted a prospective, randomized controlled trial of a natural …

Objectives To review through an ethics lens the state of research in clinical natural language
processing (NLP) for the study of bias and fairness, and to identify gaps in research …