AI TOOL FOR PRELIMINARY DIAGNOSIS OF DERMATOLOGY MANIFESTATION

Artificial Intelligence (AI) and Biomedical Engineering

The most common diseases in humans is skin disease , This is preliminary diagnosis is an AI-driven tool for the initial diagnosis of dermatological expressions. This tool accesses a system that has developed deep learning algorithms which are fed with about several annotated images of the skin. When patients upload images of their skin they have issues with, this model will conduct an analysis and give an initial map to the diseases they might be having. Additionally, it is user-friendly whereby the patient uploads the images of the skin, the tools process them using a convolution neural network limited to a broad condition of dermatological diseases. Images are processed using histogram normalization technique . These conditions are not suitable to acne, eczema, psoriasis, melanoma .Dermatological conditions, encompassing a wide spectrum of skin disorders, pose significant challenges in the realm of healthcare, demanding prompt and precise diagnostic interventions. This research delves into the development and deployment of an innovative AI-driven diagnostic tool tailored for the preliminary assessment of dermatological manifestations. The tool, grounded in advanced machine learning algorithms, is engineered to scrutinize visual data, particularly images capturing diverse skin lesions and rashes. Its core functionality involves the identification of distinctive patterns, textures, and features associated with a myriad of skin conditions.

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