Digital Dermatology: Use of AI in the Diagnosis of Skin Diseases

Abstract

The article presents an integrative review that investigates the advancements and challenges of applying artificial intelligence (AI), particularly through deep learning techniques and convolutional neural networks, in the diagnosis of skin cancer and other dermatological diseases. Based on an advanced search in the PubMed database, which resulted in the analysis of nine recent studies, the review highlights that although AI algorithms have achieved diagnostic accuracy comparable to or even superior to that of dermatologists, factors such as the need for robust hardware, the scarcity of representative data from diverse populations, and the presence of biases limit their widespread clinical implementation. Furthermore, the study emphasizes that integrating AI with teledermatology technologies and mobile applications can enhance access to and efficiency of healthcare services, provided that ethical, regulatory, and methodological barriers are overcome, ensuring that AI complements rather than replaces human expertise.