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.
1 citations
,
December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
106 citations
,
August 2024 in “Annals of Medicine and Surgery” AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
1 citations
,
July 2024 in “PharmacoEconomics - Open” The EQ-5D-5L tool may not accurately measure the impact of alopecia areata on patients' lives.
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 advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.
23 citations
,
April 2025 in “Journal of Clinical Medicine” AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
AI-assisted surgical robots improve surgery precision and safety.
4 citations
,
January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
January 2024 in “Wiadomości Lekarskie” AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
12 citations
,
November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
April 2021 in “Journal of Investigative Dermatology” An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
AI can predict hair loss patterns to improve care and treatment.
January 2024 in “Wiadomości Lekarskie” AI in heart scans improves diagnosis and treatment but has risks like misdiagnosis and high costs.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
October 2025 in “Dermatology Practical & Conceptual” ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.
9 citations
,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
September 2025 in “PubMed” AI can greatly improve skin cancer diagnosis and treatment.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
6 citations
,
June 2018 in “PLOS ONE” The Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata from other hair loss types but needs more validation.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.
January 2026 in “International Journal of Science and Research (IJSR)” AI is now essential in Indian aesthetic medicine.
January 2024 in “Wiadomości Lekarskie” AI and advanced technologies are improving medical diagnostics and treatments.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
January 2024 in “Wiadomości Lekarskie” AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.