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
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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.
6 citations
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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.
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.
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.
1 citations
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November 2025 in “International Journal of Dermatology” The AAcQLI is a promising tool for assessing quality of life in children with alopecia areata.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
May 2026 in “International Journal of Technology in Education and Science” The AI system accurately classifies hair loss types and explains its decisions.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
January 2024 in “Wiadomości Lekarskie” AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
January 2026 in “Vestnik dermatologii i venerologii” AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
1 citations
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December 2024 in “Journal of Cutaneous Medicine and Surgery” AI is useful for diagnosing skin diseases but has limitations to consider before widespread use.
October 2025 in “Journal of Bahria University Medical and Dental College” Many dental professionals are aware of AI but need more education and support to use it effectively.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing precision and safety, but doctors make final decisions.
1 citations
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December 2022 in “Zenodo (CERN European Organization for Nuclear Research)” Emotional intelligence needs different measurement tools than IQ.
1 citations
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July 2025 in “The Ewha Medical Journal” The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
February 2025 in “PubMed” AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
2 citations
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January 2024 in “Wiadomości Lekarskie” AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
110 citations
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February 2024 in “Journal of Chemical Information and Modeling” PandaOmics uses AI to find new disease treatment targets and biomarkers.
19 citations
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January 2013 in “Journal of Cutaneous Medicine and Surgery” Alopecia patients struggle with emotions and stress, and improving emotional intelligence may help manage hair loss.
AI can improve alopecia areata diagnosis with high accuracy.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.