Analysis of Trichoscopic Images Using Deep Neural Networks for the Diagnosis and Activity Assessment of Alopecia Areata – A Retrospective Study

    September 2025 in “ JDDG Journal der Deutschen Dermatologischen Gesellschaft ”
    Raffaele Dante Caposiena, V P Orlova, Nicola di Meo, Iris Zalaudek
    Studysummary This study found that a deep learning model can potentially improve the diagnosis and staging of alopecia areata with high accuracy and reliability.
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    Research cited in this study 35

    1. European Expert Consensus Statement on the Systemic Treatment of Alopecia Areata JEADV. Journal of the European Academy of Dermatology and Venereology/Journal of the European Academy of Dermatology and Venereology · 2024
    2. Treatments for Alopecia Areata: A Network Meta-Analysis The Cochrane library · 2023
    3. Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases International Journal on Recent and Innovation Trends in Computing and Communication · 2023
    4. Ensemble of Pre-Learned Deep Learning Model and an Optimized LSTM for Alopecia Areata Classification Journal of Intelligent & Fuzzy Systems · 2023
    5. Two-Dimensional Planimetry for Alopecia Areata Severity Evaluation Compared With Severity of Alopecia Tool: A Pilot Study Skin Research and Technology · 2023
    6. AB-MTE Deep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata Engineering Technology & Applied Science Research · 2023
    7. Trichoscopy Patterns in Alopecia Areata: A Systematic Review and Meta-Analysis Skin Research and Technology · 2023
    8. Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition Indian journal of science and technology · 2023
    9. Prediction of Alopecia Areata Using CNN 2023
    10. Trichoscopy: An Update Actas Dermo-Sifiliográficas · 2023
    11. FRCNN Based Deep Learning for Identification and Classification of Alopecia Areata 2023
    12. Hair and Scalp Disease Detection Using Machine Learning and Image Processing European Journal of Information Technologies and Computer Science · 2023
    13. Automating Hair Loss Labels for Universally Scoring Alopecia from Images JAMA Dermatology · 2022
    14. Trichoscopy in Alopecia Areata Actas Dermo-Sifiliográficas · 2022
    15. Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks Sensors · 2022
    16. An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach Journal of Pharmaceutical Negative Results · 2022
    17. Deep Learning-Based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia Acta dermato-venereologica · 2021
    18. Update on Trichoscopy: Integration of Terminology by Systematic Approach and Proposal of a Diagnostic Flowchart The Journal of Dermatology · 2021
    19. Alopecia Areata: An Update on Etiopathogenesis, Diagnosis, and Management Clinical Reviews in Allergy & Immunology · 2021
    20. Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach Computational and Mathematical Methods in Medicine · 2021
    21. Common Causes of Hair Loss: Clinical Manifestations, Trichoscopy, and Therapy Journal of the European Academy of Dermatology and Venereology · 2020
    22. Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue Computational and Mathematical Methods in Medicine · 2020
    23. Pre-Trained Classification of Scalp Conditions Using Image Processing Indonesian Journal of Electrical Engineering and Computer Science · 2020
    24. Fibrosing Alopecia in a Pattern Distribution Journal of The American Academy of Dermatology · 2020
    25. Alopecia Areata Predictive Score: A New Trichoscopy-Based Tool to Predict Treatment Outcome in Patients with Patchy Alopecia Areata Journal of Cosmetic Dermatology · 2019
    26. Trichoscopy Tips Dermatologic Clinics · 2018
    27. Dynamic Trichoscopy: Advancements in Hair and Scalp Examination JAMA Dermatology · 2018
    28. Trichoscopy of Alopecia Areata: An Update The Journal of Dermatology · 2018
    29. Nail Changes in Alopecia Areata: An Update and Review International Journal of Dermatology · 2018
    30. Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation Journal of Investigative Dermatology Symposium Proceedings · 2017
    31. Evaluation and Diagnosis of the Hair Loss Patient Journal of The American Academy of Dermatology · 2014
    32. Trichoscopy Dermatologic Clinics · 2012
    33. Hair and Scalp Dermatoscopy Journal of The American Academy of Dermatology · 2012
    34. Trichoscopy for Common Hair Loss Diseases: Algorithmic Method for Diagnosis The Journal of Dermatology · 2010
    35. TrichoScan: A Novel Tool for the Analysis of Hair Growth In Vivo Journal of Investigative Dermatology Symposium Proceedings · 2003