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                                        Artificial intelligence
                                                
            
        

        

        
    
    
        
        
        Intelligent medical image diagnosis system solution
        
        
        Through Huawei AI intelligent computing system, intelligent solutions are provided for problems such as high tablet reading workload, high tablet reading difficulty, and low efficacy evaluation efficiency for doctors
        
    
        

        

        
    
        
        
        Scheme Consultation
    
        

        


        
    
        
        
        To realize AI-assisted medical image diagnosis
                
        
            Based on the basic software and hardware of Centeng AI and the auxiliary image diagnosis algorithm provided by Yitu Medical, it has the edge AI reasoning ability by combining with the medical PACS equipment. It can achieve real-time multi-color rende...
        
        
    
        

        
                            
        
                
        
                    
        Solution value - Achieve a 50-fold increase in diagnostic efficiency
        
                    
        
                                                    
        
                                
        
                                    The diagnostic efficiency has been greatly improved
                                
        
                                
        The diagnostic efficiency has been greatly improved
        
                                
        Ai-based intelligent diagnosis can complete the assessment of a single patient in 10 to 15 seconds, while traditional methods take doctors 10-15 minutes. Evaluation efficiency increased by more than 50 times
        
                            
        
                                                    
        
                                
        
                                    The accuracy of diagnosis has been greatly improved
                                
        
                                
        The accuracy of diagnosis has been greatly improved
        
                                
        Ai-based intelligent assisted diagnosis can achieve the accuracy of lesion evaluation up to 99%, while the traditional way can only achieve 90%
        
                            
        
                                                    
        
                                
        
                                    The utilization rate of medical resources is improved
                                
        
                                
        The utilization rate of medical resources is improved
        
                                
        In the therapeutic effect evaluation stage, the AI-assisted image plus manual cross-examination method has also greatly improved the utilization rate of medical resources
        
                            
        
                                            
        
                
        
            
        
        

        

        
    
        
        
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        Intelligent edge device
        
                                        
        
                                            
                                                It features superior computing performance, small size, strong environmental adaptability, and easy maintenance, and can be widely deployed in edge scenarios.
                                            
                                            
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                                            It features superior computing performance, small size, strong environmental adaptability, and easy maintenance, and can be widely deployed in edge scenarios.
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        AI server
        
                                        
        
                                            
                                                With super computing performance, it can be widely used in center side AI reasoning, deep learning model development and training scenarios.
                                            
                                            
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                                            With super computing performance, it can be widely used in center side AI reasoning, deep learning model development and training scenarios.
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