Artificial intelligence in trichology - usage and prospects

Authors

DOI:

https://doi.org/10.15503/emet2024.9.19

Keywords:

artificial intelligence, trichology, hair loss diagnostics

Abstract

Introduction: This article presents possible applications of AI in trichology services, depicting opportunities and challenges for practitioners.

Material and methods: The authors have made an inquiry into existing literature regarding how AI is used in hair loss consultancy and treatment with particular focus on trichology. The authors have used a descriptive method of analysis.

Results: The results show that the AI can be used for diagnostics, treatment supervi- sion, customer contact, marketing automation in trichology services, but legal aspects should be particularly looked into.

Summary and conclusions: AI is a novel and promising technology in chosen areas of trichology services, according to literature, yet, with little evidence in the Polish market.

Downloads

Download data is not yet available.

References

Alarcon-Soldevilla F., Hernandez G. J., Garcia-Carmona J. A., Campoy Careno C. (2021). Use of Artificial Intelligence as a Predictor of the Response to Treatment in Alopecia Areata. Iproceedings, 6(1), e35433. doi: 10.2196/35433.

Altman R. B. (1999). AI in medicine. AI Magazine, 20(3), 67-77. doi:10.1609/aimag.v20i3.1467.

Arora G., Mysore V. (2025). The potential role of regenerative trichology in hair transplantation.

Journal of Cutaneous and Aesthetic Surgery. doi 10.25259/JCAS_126_2024.

Bernardis E., Castelo-Saccio L. (2018). Quantifying Alopecia Areata via Texture Analysis to Auto-

mate the SALT Score Computation. Journal of Investigation in Dermatology Symposium Proceedings,

, 1. 34-40.

Bhogireddy G., Mallela M. M., Putta S., Dontireddy S. N., Ongwere T. (2023). Gotta Track It: Design-

ing a Mobile App for Hair-Fall Monitoring, Care, and Management Among Patients with Under- lying Conditions. DIS ‘23 Companion: Companion Publication of the 2023 ACM Designing Interactive Systems Conference, July. 152–155.

Buch V., Ahmed I., Maruphattu M. (2018). Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice, March. 143-145.

Corrigan C. (2023). The Automation Advantage: Mastering Marketing Automation for Business Success: Strategies for Success in the Digital Age. London: Taylor & Francis.

Duin A. H., Pedersen I. (2023). Augmentation Technologies and Artificial Intelligence in Technical Com- munication: Designing Ethical Futures. New York- London: Taylor & Francis.

Gao M., Wang Y., Xu H., Xu C., Yang X., Nie J., Zhang Z., Z. Li, Hou W., Jiang, Y. (2022). Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia. Acta Dermatologica et Venereologica, 102, 564. doi: 10.2340/actadv.v101.564

Guercini S. (2023). Marketing Automation and Decision Making: The Role of Heuristics and AI in Market- ing. Northampton: Edgar Elgar.

Gupta A., Ivanova I. A., Renaud H. J. (2021). How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders. Dermatological Ther- apy, 34. doi: org/10.1111/dth.14811

Haircosys (2025). A.I. Hair and Scalp Check-up System. Retrieved February 24, 2025, from: https:// haircosys.com/en/a-i-hair-and-scalp-check-up/

Hartung T., Deng J., Mall R., Frangi A. F., Emmert-Streib, F.. Pham T. D. (2022). Editorial Insights in AI: Medicine and public health 2022. Frontiers in Artificial Intelligence, 6. doi: 10.3389/ frai.2023.1166426

Haykal, D. (2025). Digital twins in dermatology: a new era of personalized skin care. Frontiers in Digital Health, vol. 7, article no. 3389, doi: 10.3389/fdgth.2025.1534859

Iman L. (2024). Role of Trichology in Treating Hair Loss and Scalp Disorders. Journal of Hair Therapy & Transplantation, vol. 14, no 263. doi: 10.35248/2167-0951.24.14.263

International Telecommunication Union (2018). Assessing the Economic Impact of Artificial Intelligence. Retrieved April 15, 2024, from https://www.itu.int/dms_pub/itu-s/opb/ gen/S-GEN-ISSUEPAPER-2018-1-PDF- E.pdf

Jain D., Masurkar P., Kakde S., Siddique Khot M., Waghmare A., Gohil A., Pawar R., Patel D., Patil, P. (2024). Performance Analysis for Trichoscopy and Trichogram Using Deep Learning and Image Processing-A Survey. In: Joshi A., Mahmud M., Ragel R. G., Karthik S. (Ed.), ICT: Innovation and Computing (pp. 417-428). London-Berlin: Springer.

Katoulis A. (2024). Trichoscopy and AI. Retrieved 20 Februrary 2025 from: https://eadv. org/2024/03/18/trichoscopy-and-ai/

e-methodology 2024 (11) 19

Kaźmierczyk P., Kupis M., Maj M. (2024). White Paper on AI in clinical practice. Retrieved 13 April 2024, from: https://timesofindia.indiatimes.com/blogs/toi- edit-page/the-british-indian-diaspora-is- more-engaged-with-india-than-ever-before-in-a-world-of-social-media-led-communities/

Kim B. R., Kim J. M.., Koo J., Choi K. J., Paik K. H., Kwon S. H., Choi H. R., Huh C. H., Shin J. W., Park D., Na J. J. (2024). Artificial intelligence-based prescription of personalized scalp cosmet- ics improved the scalp condition: efficacy results from 100 participants. Journal of Dermatological Treatment, vol. 35, no. 1. doi:10.1080/09546634.2024.2337908

Kololgi S. P., Lahari C. S. (2024). Harnessing the Power of Artificial Intelligence in Dermatology: A Comprehensive Commentary. Indian Journal of Dermatology, vol. 68 (6). 678-681.

Król-Całkowska J., Walczak D. (2021). Legal possibilities of using ai in medicine, with particular emphasis on imaging diagnostics and responsibility of medical entities – Polish perspective. Teka Komisji Prawniczej PAN, XIV, 1. 205-218.

LeSueur, J. (2007). Marketing Automation: Practical Steps to More Effective Direct Marketing. Hoboken: Wiley.

Li C., Pan R., Xin H., Deng Z. (2015). Research on Artificial Intelligence Customer Service on Consumer Attitude and Its Impact during Online Shopping. Journal of Physics, 1575. doi:10.1088/1742-6596/1575/1/012192

Markiewicz E., Idowu O. C. (2018). Personalized skincare: from molecular basis to clinical and com- mercial applications. Cosmetic and Investigational Dermatology, vol. 11. 161-171.

Matysek-Nawrocka M., Biernat M., Koziarski M. (2018). Trychologia kosmetyczna jako metoda diag- nozy oraz leczenia wybranych schorzeń skóry głowy i włosów In: Maciąg M., Maciąg K. (Ed.), Medyczne aspekty kosmetologii i dietetyki, (7-20), Lublin: Tygiel.

Nillson N. J. (2009). The Quest for Artificial Intelligence. Cambridge: Cambridge University Press. OECD (2023). AI in health: huge potential, huge risks. Retrieved April 16, 2024, from: https://www.

oecd.org/health/AI-in-health-huge-potential-huge-risks.pdf

Owen D., Shohet R. (2012). Clinical Supervision in the Medical Profession: Structured Reflective Practice.

London: McGraw-Hill Education.

Prainsack B. (2017). Personalized Medicine: Empowered Patients in the 21st Century? New York: NYU

Press.

Precedence Research (2023). Artificial Intelligence (AI) Market - Global Industry Analysis, Size, Share,

Growth, Trends, Regional Outlook, and Forecast 2023- 2032 Retrieved April 15, 2024, from: https://

www.precedenceresearch.com/artificial-intelligence-market.

PST (2024) Main Page. Retrieved April 18, 2024, from: https://trycholodzy.org/.

Shpudeiko V., Sokolov K., Sidaruk H. (2022). Zastosowanie sztucznej inteligencji w dermatologii.

Przegląd Dermatologiczny, 109, 361-367.

Siemiątkowska J. (2022). Zarys trychologii kosmetycznej, Warszawa: Trichomed.

Sultanpure K., Shirsath B., Bhande B., Sawai H., Gawade S., Samgir S. (2024). Hair and scalp disease

detection using deep learning. Retreived February 22 from: https://arxiv.org/abs/2403.07940. Stiglitz J., Korinek A. (2019). Artificial Intelligence and Its Implications for Income Distribution and Unemployment. In: Agrawal A., Gans J., Goldfarb A. (Ed.), The Economics of Artificial Intelligence:

An Agenda, (349-390), Washington: National Bureau of Economic Research.

Tiwari H., Moolchadani J., Mantri S. (2023). Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach - A Review. Retrieved February 10, 2025 from: https://arxiv.org/

pdf/2308.07052.

Wielgosik B. (2017). Trycholog czyli kto? Beauty, październik-listopad, 10-11.

Wongvibulsin, S., French T., Chren M-M., Tkarczyk E. R. (2022). Expanding Personalized, Data-

Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes. JID Innovation, 2 (11). doi:10.1016/j.xjidi.2022.100105.

Downloads

Published

2025-07-27

How to Cite

Pełszyńska, J., & Syrkiewicz-Świtała, M. (2025). Artificial intelligence in trichology - usage and prospects. E-Methodology, 11(11), 9–19. https://doi.org/10.15503/emet2024.9.19

Issue

Section

“About the Internet” – Theory

Most read articles by the same author(s)