March 22, 2024, 4:46 a.m. | Dimitrios P. Panagoulias, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.14243v1 Announce Type: cross
Abstract: The rise of Artificial Intelligence creates great promise in the field of medical discovery, diagnostics and patient management. However, the vast complexity of all medical domains require a more complex approach that combines machine learning algorithms, classifiers, segmentation algorithms and, lately, large language models. In this paper, we describe, implement and assess an Artificial Intelligence-empowered system and methodology aimed at assisting the diagnosis process of skin lesions and other skin conditions within the field of …

abstract algorithms artificial artificial intelligence arxiv classifiers complexity cs.ai cs.cl cs.cv dermatology diagnostics discovery domains however intelligence language language models large language large language models machine machine learning machine learning algorithms management medical methodology modal multi-modal novel patient segmentation type vast

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