Toward Bridging the Gap from Artificial Intelligence in Clinical Research to Clinical Practice in Rheumatology: The Mayo Experience.
Authors
Affiliations (2)
Affiliations (2)
- Division of Rheumatology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. Electronic address: [email protected].
- Division of Rheumatology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Abstract
This article highlights Mayo Clinic's pioneering efforts to integrate artificial intelligence (AI) and machine learning into rheumatology, focusing on genomics, imaging, pathology, and clinical data science to improve diagnosis, treatment and operational efficiency. Key innovations include transformer-based models for genomic analysis, autonomous ultrasound devices, multimodal imaging solutions, and generative AI tools for clinical documentation and patient education, all aimed at bridging the gap between research and routine clinical care. The article emphasizes the need for rigorous validation, explainable AI, electronic health records integration, clinician training, and global collaboration to ensure safe and effective adoption of AI-powered tools in clinical practice.