	Proscia, a provider of digital pathology software, released DermAI, the first in its series of AI applications that advance the practice of pathology. A module on Proscia’s Concentriq Platform, DermAI leverages deep learning to pre-screen and classify skin biopsies to help reduce diagnostic errors and improve laboratory quality and efficiency as the number of medical professionals entering the field of pathology continues to decline.

	The standard of care for diagnosing the 25 million skin biopsies taken in the US every year has been based on a pathologist’s interpretation of patterns in tissue using a microscope. Proscia’s DermAI uses deep learning to read and classify hundreds of variants of skin diseases.

	Proscia trained and tested the DermAI algorithm using patient biopsies from leading academic and commercial derm laboratories including Cockerell Dermatopathology, Dermatopathology Laboratory of Central States, The University of Florida, and Thomas Jefferson University Hospital. This multi-site study successfully validated the performance of DermAI using over 20,000 patient biopsy slides. Proscia intends to submit DermAI to the FDA for review to use in clinical diagnosis.