Our team had built different AI models to predict precise diagnosis for the disease from the hospitals we cooperated. Furthermore, we hope our AI models could be trusted by doctors and patients, so we started to develop a trustworthy AI model Cross-hospital joint training model through federated learning, letting different hospitals can utilize better diagnostic performance. Publications had been accepted and submitted to lots of journals, for example: Deep learning for myocardial ischemia auxiliary diagnosis using CZT SPECT myocardial perfusion imaging, Widen the applicability of a convolutional neural net-work-assisted glaucoma detection algorithm of limited training images across different datasets, Toward automated segmentation for acute ischemic stroke using non-contrast computed tomography, etc...
The estimation tool made with AI can help you estimate CO2 emissions.
Different qualifications for each project are quailfied for our prediction system, for example: image quality, image type, image resolution, etc...
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Utilizing different AI models to predict of classify accurate diagnosis for a variety of disease, for example: Alzheimer's, Glaucoma, Ischemia, etc...
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The website is owned by Distinguished Professor Horng-Shing Lu, Institute of Statistics,
National Yangming Jiaotong University. Different AI models are being built by lab team to help
the hospitals we work with make accurate diagnoses of diseases, so that different departments
can use tools to make better diagnostic performance.
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Henry Horng-Shing Lu, Distinguished Professor
Wan-Ti Dai, Admin Assistant
Jacky Chung-Hao Wu, Postdoctoral Fellow
Kevin Tsao, Research
Assistant
Tim Kuan, Research Assistant
Dennish Lin, Research Assistant