AI-Based Tool for Preliminary Diagnosis of Dermatological Manifestations

Dermatological disorders affect millions of people worldwide, but effective and timely diagnosis continues to be a challenge, particularly in underserved or rural areas with limited access to a dermatologist. Using deep learning techniques this study demonstrates an AI-enabled tool that will assist effective and timely diagnosis of skin conditions and will assist health care providers in making initial assessments. The tool analyzes images of skin ailments and provides the user a preliminary assessment. This skin assessment system will assist health professionals to make quicker and better decisions regarding diagnosing skin disorders and treating dermatological diseases. The purpose of the AI tool for dermatology is to increase efficiency of care, decrease time to treatment, and ultimately improve care for dermatopathy patients. The system will be improved by developing semi-automated location-based services to assist users in finding nearby hospitals or clinics. It will also make it more relevant and easier to use in the real-world contexts.