About the Session

In this discussion, we delve into the intersection of image management, technology integration, and patient equity within dermatology AI development as well as dermatology imaging informatics. We highlight the importance of incorporating diverse perspectives to ensure equitable patient care. We will touch on algorithmic auditing, patient and community engagement, and best practices for image workflows to ensure privacy and clinical utility.

Discuss the role of imaging techniques in dermatology beyond diagnosis, emphasizing their impact on patient care and treatment outcomes.
Promote equity in dermatological practice by engaging patient voices in discussions surrounding consent, technology, and image management, fostering a patient-centered approach to care.

 

Objectives

  • Describe state-of-the-art dermatology imaging AI models and those that are commercially available.
  • Describe the current state of enterprise imaging within dermatology.
  • Describe algorithmic ethics, including auditing and community engagement.
Session Number

4016

Format

+Virtual Live Stream, Education Session

Learning Topic
Artificial Intelligence (AI)Enterprise ImagingMachine Learning (ML)
Credit Type
ASRT-RTCAMPEP-MPCECSIIM IIP-CIIPUUCME-MD

Presented By

 

Jenna Lester, MD

Dermatologist
University of California, San Francisco

Veronica Rotemberg, MD, PhD

Director, Dermatology Informatics
Memorial Sloan Kettering