Welcome to the research preview collection of the Large Model for Healthcare project! This project aims to develop large-scale deep learning models for healthcare applications, including medical diagnosis, patient management, and disease prediction. The main research directions of the project is listed below:

1. Model Design: We design large-scale deep learning models for healthcare applications, including model architectures, training strategies, and optimization techniques.
2. Model Interpretation: We develop model interpretation techniques to understand the decision-making process of deep learning models in healthcare applications.
3. Model Deployment: We deploy deep learning models in real-world healthcare systems to assist medical professionals in clinical decision-making.

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The following are the research demos of the Large Model for Healthcare project. Please read the terms and conditions carefully before accessing the demos.