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.
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.