Enhancing mental health diagnostics through deep learning-based image classification

These results underscore the effectiveness of integrating clinical knowledge with advanced AI techniques. Our approach aligns with broader goals in healthcare AI: fostering more personalized, transparent, and reliable diagnostic systems for mental health. Ultimately, it supports the development of diagnostic tools that generalize better, quantify uncertainty more reliably, and align more closely with clinical reasoning.