Improving Skin Cancer Diagnostics Through a Mobile App With a Large Interactive Image Repository: Randomized Controlled Trial.

ABSTRACT:

Background

Skin cancer diagnostics is challenging, and mastery requires extended periods of dedicated practice.

Objective

The aim of the study was to determine if self-paced pattern recognition training in skin cancer diagnostics with clinical and dermoscopic images of skin lesions using a large-scale interactive image repository (LIIR) with patient cases improves primary care physicians' (PCPs') diagnostic skills and confidence.

Methods

A total of 115 PCPs were randomized (allocation ratio 3:1) to receive or not receive self-paced pattern recognition training in skin cancer diagnostics using an LIIR with patient cases through a quiz-based smartphone app during an 8-day period. The participants' ability to diagnose skin cancer was evaluated using a 12-item multiple-ch

SUBMITTER: Nervil GG 

PROVIDER: S-EPMC10448292 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature