September 2023 in “Journal of the American Academy of Dermatology” Combining robotic and specialized tools improves hair transplant results.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
May 2011 in “Value in Health” No current patient-reported outcome measure fully meets FDA requirements for alopecia treatments.
1 citations
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January 2025 in “JEADV Clinical Practice” Disease-specific tools better assess alopecia areata's impact on quality of life.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
7 citations
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July 2024 in “Dermatology Practical & Conceptual” SII is a useful and affordable tool to assess and monitor alopecia areata.
July 2023 in “Journal of Cosmetic Dermatology” Practitioners treating hair loss need better education and resources to overcome challenges like commercial bias and ethical dilemmas.
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
2 citations
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June 2025 in “Biomolecules” Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
January 2026 in “SSRN Electronic Journal”
March 2026 in “Dermatology Online Journal” Medicaid coverage for alopecia areata treatments is inconsistent and often limited.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
2 citations
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November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
September 2025 in “Value in Health” February 2026 in “Australasian Journal of Dermatology” A new tool simplifies alopecia areata severity scoring but needs validation.
39 citations
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November 2017 in “Journal of The American Academy of Dermatology” The document suggests using standardized methods to track and measure hair loss in alopecia areata, including patient self-assessment and a 50% improvement in specific scores as a treatment goal.
June 2023 in “Aesthetic Plastic Surgery” The PRECISE scale helps estimate how many grafts are needed for hair transplant based on the severity of hair loss.
February 2025 in “Dermatology and Therapy” Alopecia areata incognita causes sudden hair loss but usually improves with topical steroids.
4 citations
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August 2019 in “Journal of Dermatology” The conclusion is that balancing cost and carbon emissions in hybrid power systems is crucial, especially when high reliability is needed, but the model needs to consider all device efficiencies and distribution losses.
September 2024 in “Journal of Cosmetic Dermatology” Robotic hair transplants are easier and quicker to learn than traditional methods.
6 citations
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February 2024 in “JAAD International” ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
3 citations
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May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
December 2025 in “Value in Health” Alopecia areata significantly strains healthcare and finances in the UAE, needing better management.
November 2006 in “評価・診断に関するシンポジウム講演論文集” KSR1 is crucial for certain skin tumor formation and could be a cancer therapy target.
35 citations
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June 2005 in “The Milbank Quarterly” The conclusion is that formalizing how past decisions influence current health technology assessments could improve the credibility and defense of coverage decisions.
April 2024 in “Pharmacoepidemiology and drug safety (Print)” The algorithm accurately identified alopecia in women of childbearing age using claims data.
September 2020 in “Eureka: Health Sciences” The emulgel with specific ingredients was effective for treating hair loss.