3 citations
,
March 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
8 citations
,
May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
5 citations
,
April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
January 2024 in “Wiadomości Lekarskie” AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
March 2026 in “Pediatric Dermatology” Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
April 2026 in “International Journal of Engineering Research and Science & Technology” The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
December 2025 in “Skin Appendage Disorders” Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
July 2025 in “E-methodology” AI can improve hair care but needs legal clarity and is not widely used in Poland yet.
January 2024 in “Wiadomości Lekarskie” AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
January 2024 in “Wiadomości Lekarskie” AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.
September 2025 in “PubMed” AI can greatly improve skin cancer diagnosis and treatment.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
March 2026 in “Aesthetic Plastic Surgery” AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
January 2026 in “International Journal of Science and Research (IJSR)” AI is now essential in Indian aesthetic medicine.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
AI can predict hair loss patterns to improve care and treatment.
51 citations
,
April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
AI chatbots can help with scabies education but shouldn't replace doctors.
2 citations
,
March 2024 in “JAAD Case Reports” AI can help track and improve hair loss treatment outcomes.
3 citations
,
March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.
2 citations
,
September 2025 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” AI can accurately diagnose and assess alopecia areata using scalp images.
June 2025 in “British Journal of Dermatology” An AI device for skin cancer was successfully integrated into the NHS, improving diagnosis accuracy and service capacity.
6 citations
,
February 2024 in “JAAD International” ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
86 citations
,
January 2020 in “British Journal of Dermatology” The AA-IGA scale reliably measures treatment success in alopecia areata by considering both clinician and patient views.
January 2024 in “Wiadomości Lekarskie” AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.