Journal
DERMATOPATHOLOGY
Volume 8, Issue 3, Pages 418-425Publisher
MDPI
DOI: 10.3390/dermatopathology8030044
Keywords
AI; machine learning; dermatopathology; skin; future
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In recent years, there has been a growing interest in artificial intelligence and machine learning in the field of medicine. The dermatopathological field is also beginning to explore the development and training of algorithms to aid pathologists in the differential diagnosis of complex melanocytic lesions, although still in its early stages. This new challenge presents promising future prospects in the modern era.
In recent years, an increasing enthusiasm has been observed towards artificial intelligence and machine learning, involving different areas of medicine. Among these, although still in the embryonic stage, the dermatopathological field has also been partially involved, with the attempt to develop and train algorithms that could assist the pathologist in the differential diagnosis of complex melanocytic lesions. In this article, we face this new challenge of the modern era, carry out a review of the literature regarding the state of the art and try to determine promising future perspectives.
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