Diagnostic performance of artificial intelligence for dermatological conditions: a systematic review focused on low- and middle-income countries to address resource constraints and improve access to specialist care.

ABSTRACT:

Background

Artificial Intelligence (AI) has emerged as a transformative tool in dermatology, particularly in Low- and Middle-Income Countries (LMICs), where healthcare systems face challenges such as a shortage of dermatologists and limited resources. AI technologies, including deep learning models like Convolutional Neural Networks (CNNs), have demonstrated potential in improving diagnostic accuracy for skin diseases, which contribute significantly to the global disease burden. However, most research has focused on High-Income Countries (HICs), leaving gaps in understanding AI's applicability and effectiveness in LMICs.

Aim/objective

This systematic review critically evaluates the application of AI in dermatological practice within LMICs, assessing the performance of AI tec

SUBMITTER: Uwishema O 

PROVIDER: S-EPMC12481837 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature