Capstones
Graduation Date
Fall 12-15-2023
Grading Professor
Alicia Chang
Subject Concentration
Health & Science
Degree Name
Master of Arts (MA)
Abstract
This project examines how engineers are creating artificial intelligence systems to help with dermatology diagnosis. Researchers believe that these systems can help close the health care gap in lower income and Black and brown communities, but dermatologists of color worry that these systems are not being trained to recognize skin conditions on patients of color.
Recommended Citation
Smail, Gretchen B., "AI’s Next Frontier — Dermatology? How It May Help Close The Health Gap For Dark-Skinned Patients" (2023). CUNY Academic Works.
https://academicworks.cuny.edu/gj_etds/687
Image of the Fitzpatrick skintone scale
IMG_7934.jpg (2977 kB)
image of Google's DermAssist
IMG_7937.jpg (3024 kB)
Google's DermAssist identifying a mole
VIDEO_SMAIL_GRETCHEN.mp4.zip (186409 kB)
Video explainer of AI bias
Included in
Computer and Systems Architecture Commons, Dermatology Commons, Skin and Connective Tissue Diseases Commons