2024, Vol. 4, Issue 1, Part A
Pioneering precision dermatology: Deep learning- fueled personalized treatment paths for skin lesion
Author(s): BDVS Naidu, Abdul Subahan, K Pawan Jayanth Reddy and G Dileep Kumar
Abstract: Skin lesions represent a substantial healthcare burden and comprise a broad spectrum of dermatological diseases. Conventional methods of diagnosis and therapy frequently depend on subjective visual evaluations, which can result in incorrect diagnoses and less than ideal treatment results. With the use of deep learning technology, this research paper project presents a revolutionary approach to dermatology and paves the door for individualized treatment plans based on accurate skin lesion analysis. In this work, we investigate the use of deep learning methods, namely convolutional neural networks (CNNs), for precise identification and categorization of different types of skin lesions. We have developed a deep learning model that can accurately distinguish between benign and malignant skin lesions by examining a wide range of datasets containing photos of skin lesions. This methodology improves diagnostics, lowering the possibility of incorrect diagnosis and improving patient outcomes. Apart from precise diagnosis, our study explores the creation of customized therapy regimens for individuals with skin lesions. Our algorithm provides customized therapy recommendations based on patient variables, including skin type, medical history, and aspects relevant to a particular lesion. This method reduces the possibility of adverse effects and the expenses related to ineffective therapies while simultaneously improving treatment efficacy. This study is a major step towards the development of precision dermatology, in which patients are given individualized treatment regimens based on precise, data-driven insights. The suggested deep learning-powered solution has the potential to completely transform the dermatological industry by giving doctors in the field a strong instrument for accurate diagnosis and customized treatment suggestions. Artificial intelligence can help dermatologists provide more accurate skin lesion analyses and, in turn, better patient care by cutting down on pointless treatments and advancing patient-centered, cost-effective healthcare.
DOI: 10.22271/27084493.2024.v4.i1a.41
Pages: 06-12 | Views: 189 | Downloads: 72
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How to cite this article:
BDVS Naidu, Abdul Subahan, K Pawan Jayanth Reddy, G Dileep Kumar. Pioneering precision dermatology: Deep learning- fueled personalized treatment paths for skin lesion. Int J Electron Microcircuits 2024;4(1):06-12. DOI: 10.22271/27084493.2024.v4.i1a.41
