LITERATURE REVIEW: ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF SKIN CANCER
DOI:
https://doi.org/10.56238/rcsv16n4-003Keywords:
Artificial Intelligence, Skin Neoplasms, Teledermatology, Algorithmic Bias, Primary Health CareAbstract
Skin cancer represents a global public health challenge, requiring increasingly accurate and accessible methods for early diagnosis. This narrative review explores the integration of Artificial Intelligence (AI) in dermatology, analyzing its performance compared to specialists, its implementation in primary care through mobile devices and applications, and the ethical limitations related to algorithmic bias in high phototypes. The results indicate that human-machine collaboration surpasses the isolated performance of both, although the lack of ethnic representativeness in training data remains a critical obstacle to diagnostic equity, especially in mixed-race and developing countries.
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