Department of Dermatology, Venereology and Leprosy, Vydehi Institute of Medical Sciences and Research Centre, Whitefield, Bengaluru, Karnataka, India.
Indian J Dermatol Venereol Leprol. 2023 Jul-Aug;89(4):549-552. doi: 10.25259/IJDVL_725_2021.
Artificial intelligence (AI), a major frontier in the field of medical research, can potentially lead to a paradigm shift in clinical practice. A type of artificial intelligence system known as convolutional neural network points to the possible utility of deep learning in dermatopathology. Though pathology has been traditionally restricted to microscopes and glass slides, recent advancement in digital pathological imaging has led to a transition making it a potential branch for the implementation of artificial intelligence. The current application of artificial intelligence in dermatopathology is to complement the diagnosis and requires a well-trained dermatopathologist's guidance for better designing and development of deep learning algorithms. Here we review the recent advances of artificial intelligence in dermatopathology, its applications in disease diagnosis and in research, along with its limitations and future potential.
人工智能(AI)是医学研究领域的一个主要前沿领域,有可能引发临床实践的范式转变。一种称为卷积神经网络的人工智能系统可能表明深度学习在皮肤病理学中的应用。虽然病理学传统上仅限于显微镜和载玻片,但最近数字病理学成像的进步导致了向人工智能实施的潜在分支的转变。目前人工智能在皮肤病理学中的应用是为了补充诊断,需要经过良好培训的皮肤科病理学家的指导,以更好地设计和开发深度学习算法。在这里,我们回顾了人工智能在皮肤病理学中的最新进展,以及它在疾病诊断和研究中的应用,以及它的局限性和未来的潜力。