0062 Establishment of dermatopathology image data base DermpathNet using artificialIntelligence empowered workflow

Accessing high-quality open-access dermatopathology image databases for learning and cross-referencing poses a common challenge for clinicians and dermatopathology trainees. While existing platforms like VisualDx offer collections, they often require subscriptions which limit accessibility. Here, we employed an artificial intelligence (AI)-enabled workflow to curate and categorize images from the PubMed Central (PMC) database, covering 166 benign and malignant cutaneous neoplasms. We aimed to establish a comprehensive dermatopathology database for educational, cross-referencing, and machine-learning purposes.