Heart disease remains the major cause of death, despite recent improvements in prediction
and prevention. Risk factor identification is the main step in diagnosing and preventing heart …

Objectives Natural language processing (NLP) and large language models (LLMs) have
emerged as powerful tools in healthcare, offering advanced methods for analysing …

Background: Spondyloarthritis (SpA) is a group of related but phenotypically distinct
inflammatory disorders that include axial SpA (axSpA) and psoriatic arthritis (PsA) …

Experts have noted a concerning gap between clinical natural language processing (NLP)
research and real-world applications, such as clinical decision support. To help address this …

Objective Natural language processing (NLP) can enhance research on activities of daily
living (ADL) by extracting structured information from unstructured electronic health records …

The article offers a survey of currently notable artificial intelligence methods (released
between 2019-2023), with a particular emphasis on the latest advancements in detecting …

The digitization of medical records and expanding electronic health records has created an
era of “Big Data” with an abundance of available information ranging from clinical notes to …

Although rheumatoid arthritis (RA) management has seen a therapeutic renaissance in the
last two decades with the growth of treatment options and implementation of a treat-to-target …

Objective Despite the recognized benefits of collecting rheumatoid arthritis (RA) outcomes
measures, their use in routine care is inconsistent. Using the Consolidated Framework for …

Background With the advent of large language models (LLM), such as ChatGPT, natural
language processing (NLP) is revolutionizing healthcare. We systematically reviewed NLP's …