TY  - JOUR
AU  - Silver, Frederick H.
AU  - Deshmukh, Tanmay
PY  - 2026
DA  - 2026/06/07
TI  - Skin Cancer and Its Classification in the Aged: A Study of Melanoma and Squamous Cell Carcinoma Using OCT and AI
JO  - OBM Genetics
SP  - 345
VL  - 10
IS  - 02
AB  - Skin cancer is a major disease that affects older subjects in the US. There are 56 million Americans 65 years and older in the US and the median age for melanoma diagnosis in the United States is 66 years. Each year 6 M patients are treated for skin cancer including basal cell carcinoma, squamous cell carcinoma, and melanoma. Both melanoma and squamous cell carcinoma can metastasize with melanoma being more likely to metastasize compared to squamous cell carcinoma and lead to death. The need to screen older subjects for skin cancer is critical. In this paper the probability of classifying lesions as either melanoma or squamous cell carcinoma using a convolutional neural network model is reported to be between 92% and 100%. These results are based on OCT gray scale images and AI and can be used as part of a telemedicine session to evaluate skin cancers. Individual areas of cancerous lesions were classified with probabilities of between 90% and 99%. Using this approach, large numbers of patients can be rapidly classified and evaluated, especially in remote areas using mobile healthcare units. In these areas dermatologist visits are difficult to schedule and larger screening efforts are needed.
SN  - 2577-5790
UR  - https://doi.org/10.21926/obm.genet.2602345
DO  - 10.21926/obm.genet.2602345
ID  - Silver2026
ER  -