Artificial Intelligence Regulation in the United States: Current Landscape and Implications for Rheumatology.
Artificial intelligence (AI) is increasingly embedded in clinical tools used in rheumatology, including imaging interpretation, longitudinal disease monitoring, and electronic health record-based decision support. Together, these commitments-advancing humanity, ensuring equity, engaging impacted individuals, improving workforce well-being, monitoring performance, innovating and learning, and promoting sustainability-operationalize trustworthy AI systems across a patient's care trajectory.
Artificial intelligence (AI) is increasingly embedded in clinical tools used in rheumatology, including imaging interpretation, longitudinal disease monitoring, and electronic health record-based decision support. Together, these commitments-advancing humanity, ensuring equity, engaging impacted individuals, improving workforce well-being, monitoring performance, innovating and learning, and promoting sustainability-operationalize trustworthy AI systems across a patient's care trajectory.
What the study was
- Study design
- Review
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Rheumatic diseases clinics of North America
Why it surfaced
Low-signal AI/ML in clinical diagnostics and imaging entry (Review design); retained for topic coverage completeness.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.