Completely cloud-based online model iteration: efficient reuse of production data, standard image labeling and annotation, real-time online feedback in-house radiologists, continuous deployment of AI model, big data analysis. Using neural architecture search, a technique Google developed to automatically design neural networks with neural networks, JF’s AI team designs a novel deep convolutional backbone and loss function to model the specific image features of chest X-ray. The AI model is able to characterize different types of thorax diseases with heatmaps.
The big data analysis function of the system is based on a large amount of business data generated by daily work processes, and allows management to see trends to improve quality, productivity, or even to spot a regional TB outbreak in order to prevent local epidemics before they begin.
Diagnostic evaluation by AI algorithm based on cloud computing. Big data storage with high security; no need for film printing, permanent data storage and analysis, ready-to-use, high processing efficiency.