Artificial Intelligence in Diagnostic Dermatology: Challenges and the Way Forward.

ABSTRACT: Artificial Intelligence (AI) has emerged as a transformative force in the field of diagnostic dermatology, offering unprecedented capabilities in image recognition and data analysis. Despite its promise, the integration of AI into clinical practice faces multifaceted challenges that span technical, ethical, and regulatory domains. This article provides a narrative overview of the current state of AI in dermatology, tracing its historical evolution from early diagnostic tools to contemporary hybrid supervised models. We identify and categorize six critical challenges: data quality and quantity, algorithmic development and explainability, ethical considerations, clinical workflow integration, regulatory frameworks, and stakeholder collaboration. Each challenge is dissected from the perspecti

SUBMITTER: Sengupta D 

PROVIDER: S-EPMC10718130 | biostudies-literature | 2023 Nov-Dec

REPOSITORIES: biostudies-literature