Artificial Intelligence Summit Forum Held in Wuhan Digital Doctors was widely acclaimed

On December 11-12, the 6th Dusi Imaging Summit Forum was held in Wuhan, and the Medical Imaging Artificial Intelligence Summit Forum took the lead in blowing the front trumpet. Professor Zha Yunfei of Wuhan University People's Hospital is the chairman of the conference.

Professor Xia Liming, Chairman of the Radiology Branch of Wuhan Medical Association and Director of the Department of Radiology of Wuhan Tongji Hospital; Professor Wang Xiang, Vice Chairman of the Radiologists Branch of Wuhan Medical Doctor Association and Director of the Department of Diagnostic Imaging of Wuhan Central Hospital; Professor Xie Baojun and Professor Yang Wenbing of the Department of Radiology of Wuhan University People's Hospital; Professor Qiu Xiaoming, Director of the Department of Radiology of Huangshi Central Hospital; Professor Bi Junying, Director of the Department of Radiology of the Third People's Hospital of Hubei Province; and Professor Pan Haisong, Director of the Department of Radiology of Hubei Provincial Hospital of Traditional Chinese Medicine Professor Tan Yiqing, Director of the Department of Radiology of Wuhan Third Hospital, Professor Lv Guoyi, Director of the Department of Radiology of Wuhan Fourth Hospital, Professor Xu Liangzhou, Director of the Department of Radiology of Wuhan Hospital of Traditional Chinese Medicine, and other imaging experts from all over Hubei gathered together, and Mr. Mao Xinsheng, Chairman of Shukun Technology, was invited to attend the conference.

Digital human body into medical AI development trend

As an industry expert exploring medical imaging AI, Professor Xia Liming has witnessed the expansion of AI from application to lung nodule detection to multi-organ, multi-modal and multi-scenario analysis and auxiliary diagnosis of the heart, head and neck, bones, liver, etc., which has greatly contributed to the improvement of efficiency and accuracy. For example, AI is applied to fracture detection to solve the problem of missed diagnosis and misdiagnosis on night duty. For the more complex and difficult liver magnetic resonance examination, AI has now been conquered. As the right hand of doctors, the application of AI to the clinic not only improves efficiency and frees doctors from heavy labor; it is of great help to teaching and scientific research.

At present, more than a dozen medical imaging AI products have obtained the national three-class certificate, which is a good thing for the commercialization and development of various products. He also expects that with the closer cooperation between industry, education and research, a large number of artificial intelligence companies from China will continue to develop innovative products in the future and lead the development of global medical technology.

The combination of medical and engineering is one of the key factors in the rapid development of medical imaging AI in China. Wuhan Central Hospital explored the cooperation of coronary AI with Shukun Technology as early as 2018, and Director Wang Xiang also witnessed the rapid iteration of coronary AI products from version 1.0 under the joint cooperation of colleagues in the national radiation industry, and now it has been very stable in clinical applications in various hospitals.

At present, Thermoun pneumonia AI has obtained NMPA Class III certificate and EU MDR CE certification.

Professor Zha Yunfei, chairman of the conference, said that medical imaging AI is a field of medical and industrial integration, and we doctors and algorithm scientists are actually promoting a great clinical practice of medical imaging, and we are full of confidence in the future.

Shukun digital doctor products are widely landed

In this summit forum, experts also shared that the AI combination of digital doctors such as heart, chest, brain, bone, liver and so on has been widely landed in hospitals in Hubei and widely recognized.

Professor Xiaoming Qiu, Director of the Department of Radiography at Huangshi Central Hospital, shared the application of digital brain in acute ischemic stroke. Through detailed cases, Director Qiu put forward a number of advantages of artificial intelligence: AI has the advantages of one-click post-processing reconstruction + structured reporting, saving time and manpower; good effect on motion artifact suppression; good image quality optimization effect, no need for manual segmentation; significant improvement of false positive perfusion abnormalities in the posterior cranial fossa and temporal lobe area; and more accurate and stable analysis of Mismatch results. In addition, the current application of Digital Kun AI to aneurysm detection has reached an accuracy rate of 98% in Huangshi Central Hospital, and the clinical recognition of AI results is also higher than that of the DSA gold standard and compared with the post-treatment workstation.

Professor Yang Wenbing of Wuhan University People's Hospital shared the application and scientific research progress of digital hearts in the department. A fully automated, one-stop AI solution for cardiovascular imaging that innovates the Scan to Report workflow to improve diagnostic efficiency and accuracy. And for difficult cases such as multiple severe calcifications, it can also be accurately reconstructed to help accurate diagnosis. Combined with digital cardiac AI applications such as intelligent analysis of calcification integrals, FFR intelligent assessment of coronary artery CTA, and intelligent assessment and analysis of pericoron fat, the risk of heart disease can be assessed and predicted.

Professor Xie Chuanmiao of the Affiliated Cancer Hospital of Sun Yat-sen University shared the advantages of AI in liver magnetic resonance applications. Digital Kun liver magnetic resonance AI can intelligently identify fourteen sequences, automatic splitting, automatic typesetting according to hospital habits, saving doctors' time, excellent sense of experience; can intelligently complete the detection of lesions, automatic mapping and registration of each sequence, reducing doctor missed diagnosis; can identify benign lesions of liver cysts and hemangiomas, assist doctors in intelligent diagnosis and differential diagnosis; in addition, AI's automatic lesion strengthening analysis, three-dimensional reconstruction and quantitative analysis of liver and liver segments, increase diagnostic accuracy and can provide more information for clinical practice.

For the future of image AI, the participating experts were very optimistic. Many experts expect that AI can be better integrated with the current medical system, giving more clinical treatment strategies to intervene, and providing patients with more efficient, more accurate, more consistent, and more accessible medical care.