Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …

Motivation Annotation tools are applied to build training and test corpora, which are
essential for the development and evaluation of new natural language processing …

Importance As health information transparency increases, patients more often seek their
health data. More than 44 million patients in the US can now readily access their ambulatory …

Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and
outbreak detection through Natural Language Processing (NLP), machine learning models …

Objective The study sought to review recent literature regarding use of speech recognition
(SR) technology for clinical documentation and to understand the impact of SR on document …

Objective To assess the role of speech recognition (SR) technology in clinicians'
documentation workflows by examining use of, experience with and opinions about this …

In this work, we expand the discussion of bias in Automatic Speech Recognition (ASR)
through a large-scale audit. Using a large and global data set of speech, we perform an …

Advances in technology, including novel ophthalmic imaging devices and adoption of the
electronic health record (EHR), have resulted in significantly increased data available for …

Large language models (LLMs), a natural language processing technology based on deep
learning, are currently in the spotlight. These models closely mimic natural language …

ABSTRACT Natural Language Processing (NLP) is a subfield of artificial intelligence that
focuses on the interaction between computers and human language, enabling computers to …