AI for Alzheimer’s Disease & Related Dementias Research and Clinical Decision Support

Sudeshna Das, PhD
Associate Investigator, Massachusetts General Hospital
Associate Professor of Neurology, Harvard Medical School Director, MGH Biomedical
Informatics Core (BMIC) Data Core Leader, Massachusetts Alzheimer’s Disease Research Center

Objectives

• Gain an understanding of current gaps in Alzheimer’s disease and related dementias (ADRD) detection and characterization.
• Learn how real-world data—such as electronic health records (EHR)—can contribute to dementia research and clinical decision support.
• ‌Discover opportunities and identify challenges of applying AI to EHR data for enhancing dementia research, early diagnosis, and patient care.

Disclosures

• Planners: Bruce L. Miller, MD; Howard J. Rosen, MD; Manizhe Eslami Amirabadi, MD; and Gillian Chen, MHA; have stated they have no relationships to disclose.
• Speaker: Sudeshna Das, PhD, has stated she has no relationships to disclose.

Accreditation: The University of California, San Francisco (UCSF) School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Designation: UCSF designates this live activity for a maximum of 22 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Credit is inclusive of all Memory and Aging Center Grand Rounds sessions offered from January 1, 2023, through December 31, 2023. (1 credit per each 1-hour grand rounds session throughout the year).

Questions? Email Manizhe Eslami Amirabadi, MD, at manizhe.eslamiamirabadi@ucsf.edu.

Attendees must register for this event. Grand Rounds presentations are for educational purposes and intended for a professional audience with a terminal degree. This activity is not commercially supported.