Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review.

Journal: Frontiers in medicine
Published Date: Jan 8, 2024

Abstract

BACKGROUND: Skin cancer is one of the most common forms worldwide, with a significant increase in incidence over the last few decades. Early and accurate detection of this type of cancer can result in better prognoses and less invasive treatments for patients. With advances in Artificial Intelligence (AI), tools have emerged that can facilitate diagnosis and classify dermatological images, complementing traditional clinical assessments and being applicable where there is a shortage of specialists. Its adoption requires analysis of efficacy, safety, and ethical considerations, as well as considering the genetic and ethnic diversity of patients.

Authors

  • Brunna C R S Furriel
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Bruno D Oliveira
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Renata Prôa
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Joselisa Q Paiva
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Rafael M Loureiro
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Wesley P Calixto
    Electrical, Mechanical and Computer Engineering School, Federal University of Goiás, Goiânia, Brazil.
  • Márcio R C Reis
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Mara Giavina-Bianchi
    Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.

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