Featured in an article published in Nature Medicine, PanDerm is one of the first AI models built specifically to assist with real-world dermatological medical practice by analyzing multiple types of images, including close-up photos, dermoscopic images, pathology slides, and total body photographs.

A series of evaluations showed PanDerm improved skin cancer diagnosis accuracy by 11% when used by doctors. The model helped non-dermatologist health care professionals improve diagnostic accuracy on various other skin conditions by 16.5%.

It also showed the ability to detect skin cancer early, identifying concerning lesions before clinician detection.

Trained on more than 2 million skin images, data for the model was sourced from 11 institutions in multiple countries, across four types of medical images.