In this issue of Rheumatic Disease Clinics, guest editors Drs. Katherine P. Liao and Jinoos Yazdany bring their considerable expertise to the topic of Artificial Intelligence in Rheumatology. Artificial Intelligence (AI) in rheumatology is revolutionizing the field by enhancing diagnostic accuracy, streamlining clinical workflows, and supporting personalized treatment strategies. In this issue, top experts explore current topics such as AI opportunities in rheumatology: a clinical data-focused introduction with a comment on LLMs; demystifying AI: key concepts with examples in rheumatology; essential informatics tools and computing infrastructure for big data to advance AI in rheumatology; and many more.
- Contains 13 relevant, practice-oriented topics including transforming rheumatology practice: AI clinical applications and ambient scribes; towards AI-driven clinical decision support tools in rheumatology; AI in musculoskeletal imaging: innovations and clinical impact in rheumatology; and more.
- Provides in-depth clinical reviews on artificial intelligence in rheumatology, offering actionable insights for clinical practice.
- Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
