Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders

    March 2024 in “ Skin research and technology ”
    Mohammad Sayem Chowdhury, Tofayet Sultan, Nusrat Jahan … Dunren Che
    Studysummary In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
    Read the full study on onlinelibrary.wiley.com →
    Discuss this study in the Community →

    Research cited in this study 15

    1. Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders Skin research and technology · 2024
    2. Scalp Atrophy Secondary to Steroid Use in Patients With Scarring Alopecia: Are Topical Steroids Superior to Topical Calcineurin Inhibitors? International Journal of Dermatology · 2023
    3. Recent Omics Advances In Hair Aging Biology And Hair Biomarkers Analysis Ageing Research Reviews · 2023
    4. Diagnosis and Differential Diagnosis of Tertiary Androgenetic Alopecia With Severe Alopecia Areata Based on High-Resolution MRI Skin Research and Technology · 2023
    5. Hair and Scalp Disease Detection Using Machine Learning and Image Processing European Journal of Information Technologies and Computer Science · 2023
    6. Advantages Of Functional Foods In Supporting And Maintaining Hair And Skin Health 2023
    7. Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN Journal of Imaging · 2022
    8. Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks Sensors · 2022
    9. Psychological Aspects of Hair Disorders: Considerations for Dermatologists, Cosmetologists, Aesthetic, and Plastic Surgeons Skin appendage disorders · 2021
    10. Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach Computational and Mathematical Methods in Medicine · 2021
    11. Health-Related Quality of Life, Depression, and Self-Esteem in Patients With Androgenetic Alopecia JAMA Dermatology · 2021
    12. How Good Is Artificial Intelligence at Solving Hairy Problems? A Review of AI Applications in Hair Restoration and Hair Disorders Dermatologic Therapy · 2021
    13. A Clinico-Epidemiological Study of Pediatric Hair and Scalp Disorders The Egyptian Journal of Hospital Medicine · 2020
    14. Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue Computational and Mathematical Methods in Medicine · 2020
    15. ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health IEEE Access · 2020