From December 15th to December 16th, 2018, the first China Medical Imaging AI Conference was held in Shanghai National Convention Center. The conference was hosted by the China Medical Imaging AI Industry and Education Innovation Alliance (CAIERA), and the China Health Promotion Foundation, the Shanghai Medical Association Radiology Branch, and the Chinese Medical Computer Imaging Magazine jointly hosted the conference to “demand, lead, The theme of “win-win and sharing†has attracted more than 2,000 representatives from various fields, such as politics, production, learning, research and medicine, industry leaders and top experts to participate in this conference.
This is the first national conference on the theme of medical imaging AI. The topic involves the most advanced technology of medical imaging AI, the practice of landing, the difficulties, challenges and solutions. It has become the industry consensus to pay attention to the application of AI.
AI is bringing a revolution to healthcare
Medicine is one of the earliest fields of artificial intelligence. Medical artificial intelligence companies have sprung up. Nowadays, they have been involved in the medical industry chain in many fields such as medical imaging, hospital management, health management, and drug excavation. Artificial intelligence technology integration has gradually shown great value. However, it should be pointed out that the current medical AI is not deep enough to meet the clinical needs. Establishing a clinical drive as the core, clarifying the clinical needs, and paying attention to the value of doctors is the future direction of AI research and development. Many companies at home and abroad have already done research on medical AI. A lot of work. Since the establishment of the medical AI company represented by Tuma Deep, it has been committed to the artificial intelligence medical exploration practice and has made many relevant progress.
At the conference, Zhong Yu, CEO of Tuma Deep Medical Technology, gave a speech entitled “Surveying Artificial Intelligence + Medical Image Scene Revolutionâ€, focusing on Tuma’s judgment on the industry and the exploration of medical imaging AI. Zhong Rong said that with the evolution of technology and the accumulation of data, artificial intelligence has already emerged. The application of medical imaging AI as a pilot has become a field in which many technology giants and startups are competing to enter, and has now entered an era of contending.
In the past half century, Moore's Law proposed by Gordon Moore has been the most important predictive model for future world infrastructure construction. The vigorous development of artificial intelligence technology in the 21st century has surpassed the predictions of traditional Moore's Law. The emergence and development of artificial intelligence technology will undoubtedly bring more possibilities. According to the US think tank MarketDigits Analysis report, as one of the largest application scenarios in the medical field, the growth rate of the review in 2018-2024 reached 40%.
In the past few years, medical imaging AI has experienced explosive growth, and a number of foreign companies have emerged, such as Arterys, Zebra, Enlitic, Butterfly Network, and Vuno.
At the recent RSNA conference in Chicago, China Medical AI has made a big splash and has already led or is at the world's leading level in many fields. At present, there is no leading enterprise in China that has an absolute advantage. Zhong Rong said that the current medical imaging AI is blooming all over the country and the competitive landscape is emerging. Tech giants such as GE, Siemens, Philips, Lian Ying, Tencent, and Keda Xunfei have deployed artificial intelligence as a breakthrough in medical imaging. In addition, technology-driven AI innovation companies represented by Shang Tang, Tuma Deep, Yitu, Shenrui, and Imagination are also running fast on their own selected vertical tracks. In terms of product lines, medical imaging AI currently focuses on lung nodules, retinal diseases, breast cancer and other diseases. There are also many companies involved in liver cancer, cerebrovascular diseases, and cardiovascular diseases. Zhong Wei believes that most of the products are in their infancy, and they need to be continuously evolved and perfected in clinical practice. In the future, there will be more product lines, which will be extended to more departments.
AI helps solve clinical needs - initial success, difficulties still exist
Zhong Wei believes that the medical AI has come to the end. These AI products have brought a lot of help to the doctors. What problems have been solved? Whether the use is universal is the only standard for the successful landing of medical imaging AI.
At present, the path of medical imaging AI is becoming more and more clear. AI can solve the problem of “capability and efficiencyâ€, and has made great progress in early screening of diseases, classification of diagnosis, prognosis evaluation, and surgical navigation. Zhong Rong summed up the practical experience of Tuma Shenwei in AI. In AI research, AI can help doctors to analyze and quantify before. At present, the liver imaging report and data management system jointly developed by Tuma Deep and the Run Run Shaw Hospital is a management system developed based on the LI-RADS guide, which can help doctors improve the diagnostic efficiency and improve the classification accuracy by using an automated grading system. Treatment decision.
In addition, Tuma Deep achieved great results in the clinical practice of tertiary hospitals. According to data from Liaocheng Second Hospital, lung nodule screening increased by 73% in three years, and direct income from screening increased by 81%. In addition to surgical treatment and follow-up, the hospital's total revenue increased by 100%. With the improvement of efficiency, the hospital's business level has been greatly improved.
Medical imaging AI has more realistic application scenarios in primary medical institutions. Zhong Rong cited the data of Tuma Shenwei in a primary hospital. It showed 120 chest CT scans per day, 80% used Tuma deep AI system, and the detection rate of lung nodules reached 99%.
After sharing relevant clinical practice cases, Zhong Wei also mentioned some difficulties faced by medical AI. Including the accuracy, robustness and generalization of the model needs to be improved; data islanding and security issues still need attention; the state has not yet appeared relevant laws and regulations to regulate artificial intelligence; future policies have certain uncertainties. In terms of artificial intelligence itself, it is necessary to clarify the relationship between AI and doctors, hospitals and patients, how to define AI roles and possible ethical issues.
Zhong Wei stressed that AI is still still in the status of primary school students, and its function is still relatively simple. It lacks a complete system solution and cannot meet the complex needs of the whole process and multiple diseases of medicine. More coordination is needed in industry regulations, standards, and price systems.
The big wave of AI has just begun
Zhong Rong responded to the widely circulated "AI Capital Winter" theory in the society. He believed that the medical imaging AI did not show obvious "cooling" on the track, but the capital became more rational and the trend was biased towards the middle and late maturity. In 2018, for example, the investment sector with medical image AI as the main body has declined, but the total amount has continued to rise. He said, "The big wave of AI has just begun. The real powerful AI company will survive after the big waves!"
Regarding the future of AI, he believes that the AI ​​utilization scenario will continue to expand, and AI development will continue to be strong. In his speech, he quoted what Gates once said: When we predict future changes, it is easy for two years of change. Too optimistic, but we still have insufficient estimates for long-term changes such as 10 years later. So we have to avoid being confused, pessimistic, and fearful. (We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten. Don't let yourself be lulled into inaction.)
Zhong Rong’s speech finally stated that the theme of the conference was “demand, lead, win-win, and shareâ€. Tuma is deeply willing to cooperate with all experts, doctors and doctors in the whole industry chain to achieve win-win cooperation and jointly promote the medical AI process, contribute to the development of China's medical and health care, and truly let science and technology enter the medical field and create a better life.
It is understood that the latest products of Tuma Deep Medical Image AI also exhibited at this conference, which received great response.
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