Study results on new AI that predicts diagnostic concordance for melanoma
Proscia has released study results on new artificial intelligence (AI) that predicts diagnostic agreement for melanoma, the deadliest form of skin cancer. The findings, which were presented at the European Conference on Computer Vision (ECCV) 2022, highlight the potential of the technology to improve diagnostic accuracy for melanoma and other diseases with low pathologist concordance.
Conducted at the University of Florida and Thomas Jefferson University, Proscia’s retrospective study “Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression” demonstrated the AI’s performance on 1,412 whole slide images of skin biopsies. Each image was assessed by three to five dermatopathologists to establish a concordance rate. The R2 correlation between the technology’s predictions and the dermatopathologists’ concordance rates was 0.51.
