Artificial Intelligence for the Diagnosis and Evaluation of Skin Cancer and Hair & Nail Disorders

Artificial Intelligence for the Diagnosis and Evaluation of Skin Cancer and Hair & Nail Disorders

 

Summary

In 2017, the American Academy of Dermatology’s report on the national burden of skin disease found nearly 85 million Americans (27% of the population) were evaluated by a physician for skin disease in 2013. These encounters led to an estimated direct health care cost of $75 billion (3.8% of total US health care costs; a US per capita cost of $240) and an indirect opportunity cost of $11 billion. These trends emerge at a time when the physician workforce, particularly dermatologists, are struggling to meet patient demand. This team will evaluate these systems for the identification and classification of skin cancer, the models created in this effort will equally be applied to the diagnosis of other dermatologic diseases (such as hair and nail disorders), guided by the expertise and availability of large scale data sets from the Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery. We are confident in our ability to iterate on incompletely proven CV concepts to create scalable improvements applicable throughout dermatology and more broadly to healthcare.

Team

Keyvan Nouri (Dermatology & Cutaneous Surgery), Yelena Yesha (University of Miami Institute for Data Science and Computing), John Tsatalis (Dermatology & Cutaneous Surgery), Mostafa Abdel-Mottaleb (Biomedical Engineering), Scott Elman (Dermatology & Cutaneous Surgery)

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