The breadth of smart medical care needs the "chest X-ray AI system" to enter the actual measurement.

The prototype of CXR AI system, aiming at 20-30 kinds of common and important diseases such as pulmonary nodules, pneumonia, pneumothorax, cardiovascular diseases and fractures, provides four-level application functions such as physical examination, immediate warning, disease classification and automatic reporting, and has entered the clinical measurement stage.

With the continuous progress and breakthrough of neural network roadshow algorithm and computer high-speed operation, the ability of using AI to assist medical image recognition is in place one after another. In order to continuously improve the quality of clinical nursing, Yadong Hospital cooperated with Quanta Computer to develop the "Medical AI Cooperation Project". Among many medical problems, chest X-ray (CXR) has the largest number, which requires huge professional manpower to interpret, and it is also one of the most worthy clinical research fields of AI. But to achieve "breadth first", we must have the strength to develop a large number of calculation models.

Chest X-ray needs a lot of professional manpower, and CXR AI system has entered the stage of clinical measurement.

Among many medical problems, the number of chest X-ray (CXR) is the largest, which requires huge professional manpower to interpret, and it is also one of the most worthy clinical research fields of AI. But to achieve "breadth first", we must have the strength to develop a large number of operating models.

Dr. Guo Guanhong, from the Department of Imaging Medicine, Yadong Hospital, who led the whole medical AI cooperation project, said that after more than one year's efforts, this cooperation project made more than 40 calculation models using the clinical images provided by Yadong Hospital, and finally created the prototype of CXR AI system, providing physical examination, immediate warning and disease classification for 20-30 common and important diseases such as pulmonary nodules, pneumonia, pneumothorax, cardiovascular diseases and fractures.

AI provides preliminary interpretation for reference, and double confirmation improves medical speed.

AI provides a preliminary interpretation report as a reference, just like a teaching hospital, where a junior resident first watches the film and then is reviewed by a senior attending physician. Through double confirmation, omissions and errors are reduced, and the speed of medical report is further improved.

Yadong Hospital began to integrate and use this CXR artificial intelligence system at the beginning of 20 19. The system can effectively help doctors identify key diseases in clinical diagnosis, and its automatic reporting function as a reference can also effectively help doctors make reports and improve work efficiency.

Carrying out the purpose of benefiting patients, Ai will become the most solid partner.

Medical AI is the future trend. With the assistance of artificial intelligence, the efficiency and accuracy of medical services and the effective use of medical resources can be greatly improved. Dr. Guo Guanhong also believes that AI will not replace the medical team. On the contrary, AI will become the most solid partner of every medical staff, implement the pragmatic spirit of putting patients first and taking service as its own responsibility, and further improve the quality of medical care. After all, "benefiting patients" is the ultimate goal of developing medical AI.

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