Combining artificial intelligence and human expertise for more accurate dermoscopic melanoma diagnosis: A two-session retrospective reader study - Supplementary Material

In session 1, participants provided diagnoses and management decisions based solely on images. In session 2, conducted 4+ months later, participants evaluated the same images in different sequence, this time with assistance of a CNN-assigned traffic light system.

Supplementary Figure 1 depicts the classification performance (melanoma, benign nevus) of individual physicians in session 1 (without CNN) and session 2 (with CNN). Physicians without CNN denoted by grey dots (n=64) and physicians with CNN denoted by black dots (n=64). Means denoted by squares.