Zhang is part of a research team that has developed a deep learning model to detect mental health symptoms and risk factors ...

For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...

Researchers created an attention-multiple-instance deep learning AI model to predict whether indeterminate thyroid nodules were benign or malignant. After creating a baseline model that performed ...

The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

To develop the temporal learning model, the researchers first trained the model to sequence ... Longitudinal Risk Prediction ...