Augmented Intelligence in Dermatology Part 1
On-Demand Video
Event Details
AUGMENTED INTELLIGENCE IN DERMATOLOGY
PART 1: AI IN HEALTH: CLOSING THE GAP OR INCREASING DISPARITIES?
Learning Objectives:
- Understand how AI systems are evaluated.
- Explore existing biases in AI systems.
This presentation is approximately 34 minutes.
Joint Accreditation Statement
In support of improving patient care, this activity has been planned and implemented by Amedco LLC and Skin of Color Society. Amedco LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
May 28, 2024 - May 27,2026
Amedco Joint Accreditation Provider Number: 4008163
Physicians
ACCME Credit Designation Statement
Amedco LLC designates this material for a maximum of 1.00 AMA PRA Category 1 Credits™ for physicians. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Speaker
Roxana Daneshjou, MD, PhD, FAAD
Assistant Professor of Biomedical Data Science and Dermatology
Stanford School of Medicine
Roxana Daneshjou, MD, PhD received her undergraduate degree at Rice University in Bioengineering. She completed her MD/PhD at Stanford, where she worked in the lab of Dr. Russ Altman studying pharmacogenomics in diverse populations. During this time, she was a Howard Hughes Medical Institute Medical Scholar and a Paul and Daisy Soros Fellowship for New Americans Fellow. She completed dermatology residency at Stanford in the research track and completed a postdoc with Dr. James Zou in Biomedical Data Science working on artificial intelligence for healthcare. She is an assistant professor of Biomedical Data Science and Dermatology.