Artificial intelligence in rheumatoid arthritis: potential applications and future implications.

ABSTRACT: The widespread adoption of digital health records, coupled with the rise of advanced diagnostic testing, has resulted in an explosion of patient data, comparable in scope to genomic datasets. This vast information repository offers significant potential for improving patient outcomes and decision-making, provided one can extract meaningful insights from it. This is where artificial intelligence (AI) tools like machine learning (ML) and deep learning come into play, helping us leverage these enormous datasets to predict outcomes and make informed decisions. AI models can be trained to analyze and interpret patient data, including physician notes, laboratory testing, and imaging, to aid in the management of patients with rheumatic diseases. As one of the most common autoimmune diseases, rheu

SUBMITTER: Gilvaz VJ 

PROVIDER: S-EPMC10687464 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature