Artificial Intelligence and Big Data in Rheumatology

Dates and Times

Start: 9/3/2025 8:00 AM
End: 9/3/2025 9:00 AM

Objectives

1) Recognize how the growing volume and complexity of data from electronic medical records (EMRs) can be harnessed in research and clinical care.

2) Differentiate between key artificial intelligence approaches — supervised learning, unsupervised learning, deep learning, generative AI, and large language models — and understand their potential applications in rheumatology and medicine.

3) Understand how pathology images and computer vision can be used to improve diagnosis and disease characterization in rheumatology and medicine

4) Appreciate how large language models (e.g., ChatGPT) can be applied in clinical medicine — from summarizing evidence and assisting with documentation to supporting patient communication and research workflows.

5) Identify both the opportunities and limitations of applying AI to real-world data, and envision how these tools may augment decision-making, patient outcomes, and research in the future.

Speakers

Accreditation

The School of Medicine, State University of New York at Stony Brook, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The School of Medicine, State University of New York at Stony Brook designates this live activity for a maximum of 1.00 AMA PRA Category 1 Credits ^™. Physicians should only claim the credit commensurate with the extent of their participation in the activity.

Maintenance of Certification

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.00 MOC points in the American Board of Internal Medicine’s (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider’s responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.