8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
9 citations,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
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.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
November 2024 in “Applied Sciences” Placenta products might help with hair loss, but more research is needed.
8 citations,
January 2017 in “Elsevier eBooks” Certain nutrients can help keep skin healthy as we age.
Forensic hair analysis for drugs is now more reliable and accurate.