In recent years, the development of artificial intelligence is in full swing. In many application fields, AI+ medical has become the focus of the market, and domestic enterprises involved in medical AI are emerging one after another. Among them, Tencent has become a “seed player†with its technical strength. In November last year, Tencent relied on its technical strength to become the "national team" of artificial intelligence. The Ministry of Science and Technology clearly relied on Tencent to build a new generation of artificial intelligence open innovation platform for medical imaging. A year later, Tencent took the responsibility of the national medical AI again as a "national team."
Recently, the launching meeting of the Tencent Medical Artificial Intelligence and Medical Technology Development Forum (cum) National Key R&D Program Key Project was held in Shenzhen. At the meeting, Tencent officially launched the “Digital Diagnostic Equipment R&D Specialization†in the 2018 National Key R&D Program – “Artificial Intelligence-Based Clinical Aided Decision Support Technology and Service Model Solution Research (AI+CDSS)†project.
The new model of "AI+CDSS" has received strong support from the state
With the increasing use of artificial intelligence in the medical field, the new model of "AI+CDSS" with deep learning ability has received more and more attention. As a key area of ​​people's livelihood, the medical industry continues to improve the quality of medical services through artificial intelligence through various means.
In April this year, the State Council issued the "Opinions on Promoting the Development of "Internet + Medical Health"" clearly stated that it is necessary to develop a clinical diagnosis and treatment decision support system based on artificial intelligence, and carry out intelligent medical image recognition, pathological typing and multidisciplinary consultation. Intelligent voice technology applications in a variety of medical health scenarios to improve the efficiency of medical services. In the "Notice on Further Promoting the Informatization Construction of Medical Institutions with Electronic Medical Records as the Core" issued in September this year, the medical decision support function and the information sharing of the whole hospital were clearly defined as the information index of the level 3 hospitals.
In the national key research and development plan of 2018, “Digital Diagnostic Equipment R&D†was one of the first six pilot projects, and it was included in the AI ​​auxiliary diagnosis project. This is also a major project that focuses on the country's major strategic tasks and solves the bottlenecks and outstanding problems facing the current national development. This “national-level†key project is led by Tencent. It is understood that Tencent undertakes this research task, and the joint partners have strong medical background and scientific research strength, such as the People's Liberation Army General Hospital, Xiangya Hospital of Central South University, Peking University People's Hospital, Institute of Automation, Chinese Academy of Sciences, etc. The strength of the sub-project research team is evident.
The project leader and director of Tencent Medical AI Lab Fan Wei introduced that during the project, Tencent will jointly explore the artificial intelligence-based clinical assistant decision support technology (AI+CDSS), build a self-evolutionary medical knowledge base, and develop artificial intelligence consultation. Decision-making support systems for triage, diagnosis, and treatment, to create a new medical cloud service model that covers the entire process of medical treatment before, during, and after treatment. Provide accurate assistance to doctors to improve the efficiency and quality of medical services; provide qualitative counseling and self-service for patients, and improve patient experience.
Fan Wei introduced the new disease service model based on AI-assisted diagnosis and treatment. Taking psoriasis as an example, patients in the pre-diagnosis session can perform human-computer interaction. Through patient image uploading, simple consultation, preliminary assessment of the disease, combined with the Internet hospital platform to achieve intelligent triage, referral, referral In the consultation, the system can initially help the doctor to judge the condition, and at the same time give a personalized treatment plan recommendations, the doctor can make a diagnosis decision for the patient through the network consultation; in the post-diagnosis, the system can predict the recurrence of the disease through prognosis evaluation Probability, and intelligent tracking of the patient's condition, on the basis of this, and through the use of drug monitoring, to achieve personalized medication guidance.
The following picture shows Tencent's exploration path in AI+CDSS.
How far is medical AI from clinical service?
In order to solve clinical problems, the Clinical Decision Support System (CDSS) came into being. To put it simply, CDSS is a medical information technology application system based on human-computer interaction, which provides decision support for clinicians before, during, and after diagnosis. For example, the doctor will search for the clinical problem keyword input system, and the system will output the corresponding solution. However, due to the general lack of CDS in the market to assist diagnosis and treatment, in clinical applications, most CDSS mainly meet the doctor's query needs, it is difficult to assist doctors in clinical decision-making.
Based on the existing problems, AI+CDSS has been put on the agenda. Under the support of a series of policies, the domestic artificial intelligence market is booming. In the AI ​​empowerment medical treatment, some achievements have been made, but there is still a certain ideal from the “true service clinical†ideal. gap. First of all, the current AI+ medical care has no platform products, most of which start with a single disease. Secondly, most companies only emphasize the number of data sets. In fact, the quality of the data sets and the quality of the labels are more important, and this is It has a close relationship with the clinician. From the current products on the market, it can match the whole process of the clinician's work. Finally, most of the products are not integrated with the business system, showing The product is immature and adds to the complexity of the doctor's operation.
AI+CDSS new service model may break
According to the key project plan introduced by Fan Wei, the new service model of AI+CDSS may be broken. On the day of the project launch, Tencent Medical AI Lab's series of medical “black technologies†surfaced, which will be the AI ​​of many diseases such as cardiovascular and cerebrovascular impact analysis, ECG intelligent analysis, dermatological intelligent diagnosis, and Parkinson's disease sports intelligence assessment. Auxiliary clinics are the research direction. From scientific research to application, the execution of Tencent AI Lab is also amazing. It is understood that ECG intelligent analysis technology has been clinically tested with Peking University People's Hospital Heart Center. At the same time, the clinically tested ECG intelligent analysis indicators will also be tested on the ECG platform of the partner intelligent wearable device manufacturer Xinyun Hengan in the near future, and it will be iteratively improved according to the trial results.
Sun Ningling, deputy director of the Heart Center of Peking University People's Hospital, affirmed this technology. AI technology can achieve comprehensive and detailed electrocardiogram, and continuous dynamic evaluation throughout the diagnosis and treatment process. Through AI technology, the early diagnosis accuracy of ECG can greatly improve the clinical The management effect on the patient. If artificial intelligence can be widely applied at the grassroots level, it will also greatly improve the level of diagnosis and treatment of diseases by grassroots doctors.
Whether the role of AI in clinical practice is effective or not depends on whether it meets the needs of clinicians and whether it solves the difficulties encountered by doctors. In the medical field, AI is a tool that turns ideas that doctors cannot realize into reality through technology. As Fan Wei said, "Our goal is not to do the system, but to solve the clinical problem."
Undoubtedly, the new service model based on AI-assisted diagnosis and treatment covering the whole process of medical treatment will help doctors solve clinical problems. When doctors face patients with complicated conditions, they can make accurate judgments and treatments in time, reduce the burden on doctors and improve Work efficiency and diagnostic accuracy, at the same time, help doctors to grow rapidly and improve the level of primary care.
How much AI's potential is, how much energy can be used in the medical field, and how to integrate AI technology with clinical needs, these are still being explored. In terms of the current AI environment and conditions, it is more important to focus on how to improve and solve the problems and research encountered in current medical care. As Ding Wei, senior vice president of Tencent, said, medical AI is an area with huge development potential and broad innovation space. How to make technology truly help doctors to serve patients and improve the quality of medical services is a common problem we face.
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