Medical engineeringmedical equipment

Intelligent Portable Neurofeedback Training System: Highlights of our product: 1. High accurate EEG value (with rigorous hardware and software design and verification) 2. real-time feedback by computer screen or APP 3. can be used at home (easy to ware, easy to use)

PCA-BM includes two models: “Automatic BMs Segmentation AI Model” and " Distant Brain Failure Prediction Model". The former one uses C2FNAS (coarse to fine network architecture search) to detect the location, size, and the number of brain metastases. The latter uses radiomics to extract numerous radiographic features and employs machine learning methods such as XGBoost to establish a prognostic model of brain metastases. PCA-BM provides more precision treatment decisions for patients and improves personalized and accurate overall stereotactic radiosurgery planning.