April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
18 citations,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
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.