AI＋醫(yī)療融合發(fā)展 亟待跨學(xué)科團(tuán)隊建設(shè)

１１月２日，２０２０粵港澳院士峰會暨第六屆廣東院士聯(lián)合會年會專題活動“ＡＩ＋醫(yī)療健康領(lǐng)袖峰會”在東莞舉行。與會專家認(rèn)為，人工智能醫(yī)療是醫(yī)療衛(wèi)生技術(shù)和通用信息技術(shù)深度融合發(fā)展的產(chǎn)物，是醫(yī)療衛(wèi)生領(lǐng)域未來發(fā)展和轉(zhuǎn)型的方向。

“醫(yī)療智能化現(xiàn)在已經(jīng)逐漸形成一種新的醫(yī)療模式?！敝袊こ淘涸菏俊倚乱淮斯ぶ悄軕?zhàn)略咨詢委員會組長潘云鶴指出，“這個醫(yī)療模式首先是從智能設(shè)備開始的。智能設(shè)備如果和服務(wù)連在一起就變成一個云平臺，云平臺可能把大醫(yī)院、中小醫(yī)院、病人和居家使用者聯(lián)系在一起，實(shí)現(xiàn)智能設(shè)備共享。將數(shù)據(jù)存在該云平臺里，同時為中小醫(yī)院和大醫(yī)院進(jìn)行服務(wù)?！?

潘云鶴進(jìn)一步闡述：“知識云平臺可以和科研教學(xué)的知識結(jié)合起來，比如皮膚病的研究、教學(xué)等。云平臺實(shí)際上是不斷發(fā)展的教科書，還可以把藥店、急救車連在一起，形成一個新的以知識為中心的醫(yī)療系統(tǒng)?！?

在中國科學(xué)院院士、清華大學(xué)人工智能研究院院長張鈸看來，醫(yī)療健康的智能化勢在必行，但人工智能在醫(yī)療健康上的應(yīng)用還存在不安全、不可信、不可靠和不可擴(kuò)展等風(fēng)險?！暗谌斯ぶ悄苁墙窈蟮陌l(fā)展方向，即建立可解釋和魯棒的人工智能理論，發(fā)展安全、可信和可擴(kuò)展的人工智能技術(shù)，推動人工智能在醫(yī)療健康中的應(yīng)用?！?

人工智能在醫(yī)療器械領(lǐng)域有哪些應(yīng)用？“從醫(yī)療器械的角度來說，幾乎每一個領(lǐng)域、每一個類別都和人工智能有關(guān)系，比如有源類的醫(yī)療器械，檢驗(yàn)的、手術(shù)的、可穿戴的這些裝備，還有一大類是無源類的各種植入體，像人工關(guān)節(jié)、人工器官、心血管支架等，由于人工智能技術(shù)的發(fā)展，這些植入體的功能、性能都發(fā)生了非常大的變化，可以說是跨越式變化?！敝袊こ淘涸菏?、華南理工大學(xué)原校長王迎軍認(rèn)為，人工智能正在推動醫(yī)療器械行業(yè)的革命性轉(zhuǎn)變，ＡＩ與醫(yī)療器械兩個多學(xué)科交叉領(lǐng)域的深度融合發(fā)展，需要跨學(xué)科團(tuán)隊整體建設(shè)，包括人才培養(yǎng)以及深度融合的課題研究等。

“雖然我們關(guān)注于人工智能應(yīng)用于臨床診斷、治療，即ＡＩ如何提高醫(yī)生診斷效率，但不容忽視的還有用于訓(xùn)練ＡＩ的數(shù)據(jù)。這些數(shù)據(jù)應(yīng)該更加完并定期更新，對于病人而言，信息的點(diǎn)、面以及長期  追蹤很重要?！睆V東省人民醫(yī)院院長余學(xué)清從臨床角度指出，“我們需要在科學(xué)家協(xié)助下，獲得完整、正確、快速的數(shù)據(jù)，但同時保障數(shù)據(jù)安全。”

對此，王迎軍指出，ＡＩ＋醫(yī)療健康本身是一件醫(yī)工交融的事情，需要醫(yī)工緊密結(jié)合的團(tuán)隊來做。她強(qiáng)調(diào)：“無論是現(xiàn)代醫(yī)學(xué)還是人工智能、醫(yī)療器械的發(fā)展，都需要一個更緊密的多學(xué)科團(tuán)隊、更早的融合，而不是你來做，我來用?！?

來源：科技日報

On November 2, the 2020 Guangdong Hong Kong Macao academician summit and the sixth annual meeting of the Guangdong academician Federation "Ai + healthcare leaders summit" was held in Dongguan. Experts at the meeting believed that artificial intelligence medicine is the product of the deep integration and development of medical and health technology and general information technology, and is the direction of future development and transformation of medical and health field.

"Medical intelligence has gradually formed a new medical model." Pan Yunhe, academician of the Chinese Academy of engineering and head of the national new generation artificial intelligence strategy advisory committee, pointed out that "this medical model starts with intelligent devices first. If smart devices are connected with services, they will become a cloud platform. Cloud platforms may connect large hospitals, small and medium-sized hospitals, patients and home users to realize intelligent device sharing. The data will be stored in the cloud platform to serve small and medium-sized hospitals and large hospitals at the same time. "

Pan Yunhe further elaborated: "the knowledge cloud platform can be combined with the knowledge of scientific research and teaching, such as the research and teaching of skin diseases. The cloud platform is actually a textbook of continuous development. Finally, pharmacies and emergency vehicles can be connected together to form a new knowledge-based medical system. "

According to Zhang Bin, academician of Chinese Academy of Sciences and President of Artificial Intelligence Research Institute of Tsinghua University, the intellectualization of medical health is imperative. However, the application of artificial intelligence in medical health still has risks of insecurity, unreliability, unreliability and non scalability. "The third generation of artificial intelligence is the future development direction, that is to establish interpretable and robust artificial intelligence theory, develop safe, credible, reliable and scalable artificial intelligence technology, and promote the application of artificial intelligence in medical and health care."

What are the applications of artificial intelligence in the field of medical devices? "From the perspective of medical devices, almost every field and category is related to artificial intelligence, such as active medical devices, inspection, surgical and wearable equipment, and a large category of passive implants, such as artificial joints, artificial organs and cardiovascular stents. Due to the development of artificial intelligence technology, the functions of these implants are improved Great changes have taken place in energy and performance, which can be said to be leapfrog changes. " Wang Yingjun, academician of the Chinese Academy of engineering and former president of South China University of technology, believes that artificial intelligence is promoting the revolutionary transformation of the medical device industry. The in-depth integration and development of AI and medical device two interdisciplinary fields requires the overall construction of interdisciplinary teams, including personnel training and deep integration research.

"Although we focus on the application of artificial intelligence in clinical diagnosis and treatment, that is, how AI can improve the diagnostic efficiency of doctors, we should not ignore the data used to train AI. These data should be more complete, accurate and regularly updated. For patients, the point, area and long-term tracking of information are important. " Yu Xueqing, President of Guangdong Provincial People's Hospital, pointed out from a clinical point of view that "we need to obtain complete, correct and fast data with the help of scientists, but at the same time ensure data security."

In this regard, Wang Yingjun pointed out that AI + medical health itself is a matter of integration of doctors and workers, which needs a team of doctors and workers to work closely. "Whether it is the development of modern medicine, artificial intelligence and medical devices, we need a closer multidisciplinary team and earlier integration, rather than you do it and I will use it," she stressed

Source: Science and Technology Daily