1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
Transfer learning with three neural network architectures accurately classifies hair diseases.
18 citations,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
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.
1 citations,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
34 citations,
January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
3 citations,
July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
1 citations,
January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
20 citations,
September 2021 in “Nature communications” Cat color patterns are determined early in development by gene expression and epidermal changes, with the Dickkopf 4 gene playing a crucial role.
1 citations,
May 2018 in “The journal of investigative dermatology/Journal of investigative dermatology” The symposium highlighted the importance of understanding disease mechanisms for targeted dermatology treatments.
1 citations,
April 2018 in “Lasers in Surgery and Medicine” New treatments and technologies in laser medicine show promise for improving skin conditions, fat reduction, cancer treatment, wound healing, and hair restoration.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
September 2024 in “Journal of the American Academy of Dermatology” Oxytocin receptors are found in skin cells near touch and pain neurons.
The system can automatically identify different hair and scalp conditions using machine learning.
51 citations,
April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
1 citations,
February 2024 in “Journal of nanobiotechnology” Hydrogels combined with extracellular vesicles and 3D bioprinting improve wound healing.
September 2023 in “Membranes” 3D-printed membranes with smart sensors can greatly improve tissue healing and have many medical applications.
June 2022 in “Research journal of topical and cosmetic sciences” Trichovitals® supplement improves hair thickness, reduces hair loss, and promotes hair growth in young adults.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
101 citations,
January 1997 in “Journal of Investigative Dermatology Symposium Proceedings” Nerves and chemicals in the body can affect hair growth and loss.
10 citations,
September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
April 2021 in “Journal of Investigative Dermatology” Spironolactone safely and effectively treats hair loss in female scarring alopecia patients.