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@article{182529,
        author = {Akansha More and Shubhangi Tidake and Prashant Kulkarni},
        title = {AI DERMATOLOGICAL ASSISTANCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {2518-2523},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182529},
        abstract = {Abstract- Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human-like intelligence. Convolutional neural networks, a type of deep learning AI, can classify basal cell carcinoma, seborrheic keratosis, and conventional nevi, highlighting the potential for deep learning algorithms to improve diagnostic workflow in dermatopathology of highly routine diagnoses. Additionally, convolutional neural networks can support the diagnosis of melanoma and may help predict disease outcomes. With rising rates of skin diseases and conditions globally, there is an increasing need for more accessible and affordable dermatology care. However, factors like the shortage of dermatologists, high costs of in-person appointments, and lack of access to care in rural regions present barriers to meeting this need. Recent advances in artificial intelligence (AI) and machine learning open new possibilities for developing automated systems that can conduct preliminary analysis of skin lesions and provide probable diagnoses. This research aims to develop and evaluate an AI-based tool for preliminary dermatology diagnosis that is accessible, cost-effective, and can improve care. The approach will utilize convolutional neural networks to create an image classification model trained on dermatology image datasets. The model will categorize skin lesions into different condition classes to provide a differential diagnosis. Extensive testing and validation will be done to determine the model’s diagnostic accuracy across diverse dermatology cases.},
        keywords = {},
        month = {July},
        }