1. A novel, rapid one-stop predictive system for obstructive coronary artery disease (CAD), with automatic preprocessing techniques including segmentation, alignment with standard templates, normalization, standardization,3D spherical conversion.2. With deep learning method to accurately predict obstructive CAD, the treatment responseprognosis.3. This technology can be applied in any 3D myocardial images such as SPECT, PET, CT, MRI without normal database, with considerable accuracy.

1. A one-stop predictive system of myocardial perfusion imaging for coronary artery disease.2. The automatic preprocessing includes segmentation, alignment with standard templates, normalization,3D map conversion.3. The deep learning algorithm could be used in the diagnosis of CAD, prediction of treatment responseprognosis, with excellent performance comparing with the conventional algorithms.4. This technology can be applied in SPECT, PET, CTMRI, without the normal database.

The applications include rapidstandardized diagnosis process,evaluationprediction of treatment responsecardiovascular outcomes. We could cooperate with the equipmentsoftware analysis manufacturers,Nationalcommercial health insurance/companies whether it is expected to be used to evaluate the patients’ riskthe necessity of invasive procedureshospitalization.