Clinically applicable deep learning framework for measurement of the extent of hair loss in patients with alopecia areata

Hair Regrowth Outcomes of Contact Immunotherapy for Patients With Alopecia Areata

Lee, S., Kim, B. J., Lee, Y. B., & Lee, W. (2018) · JAMA Dermatology · doi:10.1001/jamadermatol.2018.2312 · Cited by 102 · see citing works

Objective outcome measures: Collecting meaningful data on alopecia areata

Olsen, E. A., Roberts, J. L., Sperling, L. C., Tosti, A., Shapiro, J., McMichael, A. J., Bergfeld, W. F., Callender, V. D., Mirmirani, P., Washenik, K., et al. (2017) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2017.10.048 · Cited by 78 · see citing works

Association of Out-of-Pocket Health Care Costs and Financial Burden for Patients With Alopecia Areata

Li, S. J., Mostaghimi, A., Tkachenko, E., & Huang, K. P. (2019) · JAMA Dermatology · doi:10.1001/jamadermatol.2018.5218 · Cited by 56 · see citing works

Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation

Bernardis, E., & Castelo‐Soccio, L. A. (2017) · Journal of Investigative Dermatology Symposium Proceedings · doi:10.1016/j.jisp.2017.10.010 · Cited by 46 · see citing works

All-Cause and Cause-Specific Mortality Risks Associated With Alopecia Areata

Lee, S., Lee, Y. B., Kim, B. J., Bae, S., & Lee, W. (2019) · JAMA Dermatology · doi:10.1001/jamadermatol.2019.0629 · Cited by 33 · see citing works

Topographic Phenotypes of Alopecia Areata and Development of a Prognostic Prediction Model and Grading System

Lee, S., Kim, B. J., Lee, C.-H., & Lee, W. (2019) · JAMA Dermatology · doi:10.1001/jamadermatol.2018.5894 · Cited by 12 · see citing works

Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review

Daneshjou, R., Smith, M. P., Sun, M. D., Rotemberg, V., & Zou, J. (2021) · JAMA Dermatology · doi:10.1001/jamadermatol.2021.3129 · Cited by 403 · see citing works

How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders

Gupta, A. K., Ivanova, I. A., & Renaud, H. J. (2021) · Dermatologic Therapy · doi:10.1111/dth.14811 · Cited by 35 · see citing works

Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases

Pomi, F. L., Papa, V., Borgia, F., Vaccaro, M., Pioggia, G., & Gangemi, S. (2024) · Life · doi:10.3390/life14040516 · Cited by 33 · see citing works

Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia

Gao, M., Wang, Y., Xu, H., Xu, C., Yang, X., Nie, J., Zhang, Z., Li, Z., Hou, W. S., & Jiang, Y. (2021) · Acta Dermato Venereologica · doi:10.2340/actadv.v101.564 · Cited by 29 · see citing works

Predicting the severity of postoperative scars using artificial intelligence based on images and clinical data

Kim, J., Oh, I., Lee, Y. N., Lee, J. H., Lee, Y. I., Kim, J., & Lee, J. H. (2023) · Scientific Reports · doi:10.1038/s41598-023-40395-z · Cited by 26 · see citing works

Prediction of Alopecia Areata using Machine Learning Techniques

Aditya, S. S., Sidhu, S., & Kanchana, M. (2022) · International Conference on Data Science and Information System (ICDSIS) · doi:10.1109/icdsis55133.2022.9915804 · Cited by 25 · see citing works

Alopecia areata: What's new in the diagnosis and treatment with JAK inhibitors?

Dainichi, T., Iwata, M., & Kaku, Y. (2023) · The Journal of Dermatology · doi:10.1111/1346-8138.17064 · Cited by 21 · see citing works

Automating Hair Loss Labels for Universally Scoring Alopecia From Images

Gudobba, C., Mane, T., Bayramova, A., Rodriguez, N., Castelo‐Soccio, L. A., Ogunleye, T. A., Taylor, S. C., Cotsarelis, G., & Bernardis, E. (2022) · JAMA Dermatology · doi:10.1001/jamadermatol.2022.5415 · Cited by 20 · see citing works

Augmented Decision-Making in wound Care: Evaluating the clinical utility of a Deep-Learning model for pressure injury staging

Kim, J., Lee, C., Choi, S.-C., Sung, D.-I., Seo, J., Lee, Y. N., Lee, J. H., Han, E. J., Kim, A. Y., Park, H. S., et al. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105266 · Cited by 19 · see citing works

Intelligent Healthcare Platform for Diagnosis of Scalp and Hair Disorders

Ha, C., Go, T., & Choi, W. (2024) · Applied Sciences · doi:10.3390/app14051734 · Cited by 15 · see citing works

DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM

Sayyad, S. F., Midhunchakkaravarthy, D., & Sayyad, F. B. (2022) · International Journal of Applied Pharmaceutics · doi:10.22159/ijap.2022.v14ti.19 · Cited by 11 · see citing works

Assessing the performance of artificial intelligence models in evaluating inflammatory skin disease severity: a systematic review and meta-analysis

Cai, Z. R., Kim, J., Rezaei, S. J., Chen, M. L., Touma, F., Zhu, C., Onyeka, S., Fonjungo, F., Omiye, J. A., Krakowski, I., et al. (2025) · British Journal of Dermatology · doi:10.1093/bjd/ljaf250 · Cited by 8 · see citing works

Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review

Kallipolitis, A., Μούτσελος, Κ., Zafeiriou, A., Andreadis, S. T., Matonaki, A., Stavropoulos, T. G., & Maglogiannis, I. G. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02843-2 · Cited by 9 · see citing works

A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet

Jin, Y.-J., Park, Y.-S., Kang, S.-H., Kim, D.-H., & Lee, J.-Y. (2024) · Applied Sciences · doi:10.3390/app14177574 · Cited by 8 · see citing works

Artificial intelligence–enabled precision medicine for inflammatory skin diseases

Tang, A. S., Wei, M. L., Haemel, A., La, C., Sirota, M., & Lee, E. Y. (2026) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2025.10.596 · Cited by 6 · see citing works

Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition

Saraswathi, C., & Pushpa, B. (2023) · Indian Journal of Science and Technology · doi:10.17485/ijst/v16i18.29 · Cited by 6 · see citing works

Deep Study on Alopecia Areata Diagnosis for Hair Loss Related Autoimmune Disorder Problem Using Machine Learning TechniquesPreprint

Sayyad, S. F., & Midhunchakkaravarthy, D. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4054490 · Cited by 6 · see citing works

Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study

Suh, M. J., Ahn, S., & Byun, J. Y. (2025) · Ewha Medical Journal · doi:10.12771/emj.2025.00486 · Cited by 5 · see citing works

GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery

Hwang, D., Choi, S.-H., Shin, J., Kim, M., & Choi, Y.-H. (2021) · Electronics · doi:10.3390/electronics10243066 · Cited by 5 · see citing works

Artificial Intelligence Approaches for Skin Anti-aging and Skin Resilience Research

Georgievskaya, A., Danko, D., Baxter, R. A., Corstjens, H., & Tlyachev, T. (2023) · Healthy ageing and longevity · doi:10.1007/978-3-031-35176-1_10 · Cited by 5 · see citing works

Artificial intelligence for autoimmune diseases

Mahajan, A., LaChance, A., Rodman, A. M., Chung, L. S., & Powell, D. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02015-0 · Cited by 4 · see citing works

Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study

Caro, R. D. C., Orlova, V. P., di Meo, N., & Zalaudek, I. (2025) · JDDG Journal der Deutschen Dermatologischen Gesellschaft · doi:10.1111/ddg.15847 · Cited by 4 · see citing works

Computer Vision in Autoimmune Diseases Diagnosis—Current Status and Perspectives

Tsakalidou, V. N., Mitsou, P., & Papakostas, G. A. (2022) · Advances in intelligent systems and computing · doi:10.1007/978-981-16-9573-5_41 · Cited by 4 · see citing works

Artificial Intelligence in Hair Disorders: A Narrative Review

Lecumberri, A., Vaño-Galvan, S., Asz‐Sigall, D., & Saceda‐Corralo, D. (2026) · Dermatology and Therapy · doi:10.1007/s13555-026-01677-2 · Cited by 2 · see citing works

A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health

Chowdary, P. B. K., Sadhana, A., Mahalakshmi, C., Vege, K. P., Reddy, K. Y., & Tulasi, S. (2024) · Data-intensive research · doi:10.1007/978-981-99-9179-2_43 · Cited by 2 · see citing works

Classification Framework for Healthy Hairs and Alopecia Areata using Machine Learning (Preprint)Preprint

Shakeel, C. S., Khan, S. J., Aijaz, S. F., Hassan, U., & Chaudhry, B. M. (2021) · doi:10.2196/preprints.30362 · Cited by 2 · see citing works

Artificial intelligence-enabled precision medicine for inflammatory skin diseasesPreprint

Tang, A., Wei, M. L., Haemel, A. K., La, C., Sirota, M., & Lee, E. Y. (2025) · PubMed · doi:10.48550/arxiv.2505.09527 · Cited by 5 · see citing works

Herbal Hair Care

Anusha, S. J. , & -, S. D. K. (2024) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2024.v06i03.20833

Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie

Caro, R. D. C., Orlova, V. P., di Meo, N., & Zalaudek, I. (2026) · JDDG Journal der Deutschen Dermatologischen Gesellschaft · doi:10.1111/ddg.15847_g

Hair Disorders and Artificial Intelligence

Katoulis, A., Michelaki, S.-M., & Pappa, G. (2026) · Springer eBooks · doi:10.1007/978-3-032-15614-3_17

An intelligent decision-making framework for evaluating the impact of blood tests and thyroid status on alopecia severity in women

Joudar, S. S., Zahid, I. A., Albahri, O. S., Albahri, A. S., Al-Samarraay, M. S., Alamoodi, A. H., Al‐Quraishi, T., & Sharaf, I. M. (2026) · Journal of Intelligent Systems · doi:10.1515/jisys-2025-0205

Artificial Intelligence-based 3D assessment of alopecia areata using clinical photographs

Lee, Y., Lee, S., Lee, S., & Yang, S. (2026) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2026.08.069

Artificial intelligence in trichology: A systematic review of current applications in diagnosis, severity assessment, and treatment monitoring

Alanazi, S. K., Alkharisi, M. M., Alshalhoob, H. B., Alduraywish, W. A., Almulla, S. A., Alnajim, L. A., Alanazi, L. N., Almulla, A. A., Alanazi, S. L., & Alfuraih, I. (2026) · Digital Health · doi:10.1177/20552076261478204

Reviewing usage of DL models and ML Classifiers in Identification of Scalp Related Maladies

Mahant, J., & Tiwari, P. (2026) · International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI) · doi:10.1109/icscai68849.2026.11649006

Early Hair Regrowth With Adjunctive Secretome Therapy in Severe Patchy Alopecia Areata

Effendy, Z. F., Silahudin, A., Handamari, D. A., & Soetojo, S. D. R. (2026) · Academia Open · doi:10.21070/acopen.11.2026.15456

Clinically Applicable Deep Learning Framework for Measuring the Extent of Hair Loss in Patients with Alopecia Areata

Lee, S. (2020) · Data Archiving and Networked Services (DANS) · doi:10.17632/75k76546ms

871 Continuous hair density differentiation to score extent of alopecia areas automatically

Mane, T., Bayramova, A., Castelo‐Soccio, L. A., & Bernardis, E. (2020) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2020.03.887

75214 A Picture-Based SALT (vSALT) for Alopecia Areata with Improved Reliability, Non-Scalp Hair Assessment, Pattern Identification, and Adjustment for Androgenetic Alopecia

Speeckaert, R., Caelenberg, E. V., Belpaire, A., Dewaele, D., Hoorens, I., Neudakh, L., Broucke, L. V., Maelsaeke, E. V., Speeckaert, M. M., & van Geel, N. (2026) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2026.04.097

Quantitative analysis and development of alopecia areata classification frameworks

Dubey, A., & Morales, A. (2024) · Journal of Emerging Investigators · doi:10.59720/24-004 · Cited by 2 · see citing works

72822 Assessment of Alopecia Areata Severity Using the Alopecia Areata Scale (AASc) Compared With the Severity of Alopecia Tool (SALT): Results From a Real-World Survey

King, B., Mayo, T. T., Kaldas, M. I., Soliman, A. M., Truong, B., & Asfour, L. (2026) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2026.04.244