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Digital Dermatologist: An AI-Powered Mobile App for Early Detection of Skin Diseases

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Listed:
  • Zahid Hussain, Preh Keerio, Rehman Shahani

    (Department of Computer Science,Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan)

Abstract

An increasing number of people are experiencing skin problems, causing overcrowding in hospitals and clinics. This situation highlights the need for a quicker and more convenient way to diagnose these conditions. To address this, we have developed a mobile application that uses artificial intelligence (AI) to detect skin diseases.The app provides fast and useful information about skin issues through AI. Its user-friendly design makes it easy for anyone to use, even without technical knowledge. This tool helps people monitor their skin health and reduces the burden on healthcare facilities. By using the app, users can identify skin problems early and receive guidance on possible treatments.

Suggested Citation

  • Zahid Hussain, Preh Keerio, Rehman Shahani, 2025. "Digital Dermatologist: An AI-Powered Mobile App for Early Detection of Skin Diseases," International Journal of Innovations in Science & Technology, 50sea, vol. 7(6), pages 107-117, May.
    • Handle: RePEc:abq:ijist1:v:7:y:2025:i:6:p:107-117
    as

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    File URL: https://journal.50sea.com/index.php/IJIST/article/view/1282/1874
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    References listed on IDEAS

    as
    1. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 546(7660), pages 686-686, June.
    2. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
    Full references (including those not matched with items on IDEAS)

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