Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text.

ABSTRACT:

Background

Due to the lower reliability of laboratory tests, skin diseases are more suitable for diagnosis with AI models. There are limited AI dermatology diagnostic models combining images and text; few of these are for Asian populations, and few cover the most common types of diseases.

Methods

Leveraging a dataset sourced from Asia comprising over 200,000 images and 220,000 medical records, we explored a deep learning-based system for Dual-channel images and extracted text for the diagnosis of skin diseases model DIET-AI to diagnose 31 skin diseases, which covers the majority of common skin diseases. From 1 September to 1 December 2021, we prospectively collected images from 6,043 cases and medical records from 15 hospitals in seven provinces in China. Then the performanc

SUBMITTER: Li H 

PROVIDER: S-EPMC10620802 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature