The Use of Artificial Intelligence Algorithms in the Detection and Prognostication of Melanoma Through Dermoscopic Imaging
Keywords:
Artificial Intelligence, Melanoma, Dermoscopic Imaging, Deep Learning, Prognostication, Skin Cancer DetectionAbstract
The detection and prognostication of melanoma, one of the deadliest skin cancers, can be greatly enhanced by the integration of artificial intelligence (AI) algorithms with dermoscopic imaging. AI algorithms, particularly deep learning techniques, have shown promise in identifying melanoma at early stages and predicting patient outcomes. Dermoscopic imaging provides detailed, high-resolution images that are used to analyze skin lesions for the presence of melanoma. This paper explores the role of AI in improving diagnostic accuracy and prognostic outcomes through dermoscopic imaging, focusing on various AI techniques and their performance. The findings suggest that AI holds significant potential in reducing diagnostic errors, enabling faster decision-making, and improving patient prognostication, ultimately leading to better clinical outcomes.
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