Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
PMID: 38545843

Abstract

BACKGROUND: Hair and scalp disorders present a significant challenge in dermatology due to their clinical diversity and overlapping symptoms, often leading to misdiagnoses. Traditional diagnostic methods rely heavily on clinical expertise and are limited by subjectivity and accessibility, necessitating more advanced and accessible diagnostic tools. Artificial intelligence (AI) and deep learning offer a promising solution for more accurate and efficient diagnosis.

Authors

  • Mohammad Sayem Chowdhury
    Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh.
  • Tofayet Sultan
    Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh.
  • Nusrat Jahan
    Department of Computer Science and Engineering, Eastern University, Dhaka 1345, Bangladesh.
  • Muhammad Firoz Mridha
    Department of Computer Science, American International University-Bangladesh, Dhaka 1229, Bangladesh.
  • Mejdl Safran
    Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia.
  • Sultan Alfarhood
    Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia.
  • Dunren Che
    School of Computing, Southern Illinois University, Carbondale, IL 62901, USA.

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