"In the era of digital civilization, intelligence must be an inevitable trend in the future development of medical and healthcare industry." At the first Zhejiang Provincial Digital Health Conference held recently, Professor Zhu Shiqiang, Director of Zhijiang Laboratory, gave a wonderful report on artificial intelligence to promote the intelligent transformation of medical and healthcare industry.
(Source: Zhijiang Laboratory)
Zhu Shiqiang pointed out that with the support of big data and artificial intelligence technology, six major changes will occur in the field of medical and health, namely Change in medical testing methods, medical diagnosis methods, drug research and development paradigm changes, hospital management methods, government supervision models, and social medical concepts.
Change 1: Medical testing method
"With the development of multimodal medical imaging intelligent technology and the intelligent real-time dynamic monitoring system for health data, medical testing instruments will transform from the current output data to the direct output results." Zhu Shiqiang pointed out that auxiliary diagnosis and treatment equipment based on the integration of multimodal sensing information and perception can achieve the goals of accurate lesion positioning, rapid pathological analysis, and accurate diagnosis. The continuous dynamic perception device of physiological indicators based on high sensitivity, wearable/implantable physiological indicators can establish a cloud-integrated real-time monitoring, diagnosis and early warning system to accurately grasp personal health conditions. The multimodal medical perception assisted diagnostic equipment being developed by Zhijiang Laboratory will integrate and expand traditional medical imaging methods such as optics, ultrasound, X optical , and at the same time develop an intelligent perception diagnosis and treatment system based on artificial intelligence technology. Through electronic endoscopy, the three-dimensional morphology of intraluminal tissue and cells, the non-invasive acquisition of deep tissue structure and functions of photoacoustic imaging, and the rapid pathological detection to achieve timely tissue section analysis, it can achieve efficient acquisition and precise processing of cross-scale multimodal information, providing doctors with a comprehensive diagnostic basis. Many of these technologies have formed prototypes and have been verified in clinical use.
With the deepening development of artificial intelligence technology, the diagnosis method of diseases will change from a human-oriented approach to "human-machine collaboration". Technology such as knowledge graphs and auxiliary decision-making tools will become powerful assistants for clinical diagnosis of .
"We spent about two years sorting out the medical data of several large hospitals and forming a set of super-large-scale electronic medical record knowledge graphs. Using this knowledge graph, we can dig out disease information hidden in massive medical data and conduct comprehensive cross-diagnosis and treatment." Zhu Shiqiang introduced.
Based on this knowledge graph, the research team of Zhijiang Laboratory deduced the 71,679 patients with chronic kidney disease risk from the tertiary hospital non-nephrological diagnosis data in 2007-2019. Through a follow-up of 5439 patients from June to December 2019, 82.1% of high-risk patients were diagnosed with chronic kidney disease. This means that the knowledge graph can advance the risk warning time for chronic kidney disease by about 2 years.
Change 3: Drug R&D Paradigm
From the perspective of drug R&D paradigm, change is happening at two levels. is the first of all a research paradigm transformation from wet experiments to dry-wet combination. "Through the AI algorithm, we can analyze the interactions between different molecules in detail, analyze the signaling pathway of the disease in the human body, so as to find protein targets that can effectively interfere with the occurrence of the disease. Based on this target, we can generate a large number of drug-like molecules for reference by pharmacists." Zhu Shiqiang said.
Zhijiang Laboratory has built an open platform for intelligent computing pharmaceuticals based on the major technological infrastructure of intelligent computing digital reactors, and is empowering drug research and development through intelligent computing.Automatically target the generation of drug-like molecules to alleviate the risks and costs brought by traditional screening trial and error, and greatly improve the efficiency of drug research and development.
is the second transformation from common drugs to personalized drugs. Artificial intelligence technology makes personalized drug development possible. For example, immune cell therapy based on AI and CRISPR gene editing can intelligently analyze personalized data such as cancer patients' own genes, gender, age, physiological status, etc., and gene edit the patient's own immune cell to achieve personalized treatment, helping to improve the survival cycle of cancer patients.
(Source: Zhijiang Laboratory)
Change 4: Hospital management methods
Management methods brought about by the application of artificial intelligence technology also occur in two aspects. From the perspective of the hospital, the penetration of artificial intelligence technology has made the internal management of the hospital more transparent, open and intelligent; from the perspective of the hospital's patient management, the management originally concentrated in the diagnosis and treatment stage will be transformed into full-process health management.
"Artificial intelligence has been widely used in all aspects before, during and after diagnosis, and the hospital's space wall has been broken." Zhu Shiqiang pointed out. Before the diagnosis, smart online medical treatment allows patients to seek medical treatment without leaving home, reducing medical treatment time; during the diagnosis, a smart ward system based on Internet of Things technology intelligently connects patients, medical staff, and diagnosis and treatment equipment, making patients feel more at ease when they are hospitalized; after the diagnosis, the digital "medical brain" and post-diagnosis management tools continue to collect data on patients' condition changes, realizing the full management of the disease, and making diagnosis and treatment decisions more accurate and scientific.
Reform 5: Government supervision model
"Through public health credible supervision technology, there is no need to gather original data. It can protect people's privacy while enabling government agencies to have a wide-area, fine and sensitive comprehensive situational awareness of the public health health situation under their jurisdiction." Zhu Shiqiang pointed out.
With the continuous empowerment of artificial intelligence technology, the government supervision model will transform from local periodic lag and sampling supervision to global, timely and even advanced comprehensive supervision; from busy searching for redundant public health-related data to intelligent supervision with automatic data aggregation and automatic warning of situations. Driven by technology, new governance concepts and new management models of government intelligent supervision in the field of public medical care will gradually be formed.
Reform 6: Social medical concept
"Difficult and expensive to see a doctor", uneven allocation of medical resources has been a problem that has plagued my country's medical system for a long time. Zhu Shiqiang pointed out that with the assistance of AI technology and supported by the medical knowledge base, every person in society will have high-level "digital doctors" guidance, and high-quality diagnosis and treatment services are available at any time, which can greatly reduce the cost of non-essential medical treatment.
AI technology will also provide high-level auxiliary diagnosis and treatment capabilities for medical institutions at all levels, which can greatly improve the level of hospitals in communities and rural areas to deal with common diseases, make tiered diagnosis and treatment the norm, and improve the supply level and efficiency of medical services.
Diversified medical treatment model and upgrade of medical resource allocation capabilities will promote the transformation of social medical concepts and effectively promote the construction of a healthy China.
(Source: Zhijiang Laboratory)
"In the future, the boundaries of physical hospitals will be broken, including human-machine collaborative diagnosis and treatment, intelligent doctor work partners, multi-intelligent consultation, wide-area collaborative transparent hospital... The hospital's capabilities will be extended to the community through various means, empowering individual patients and forming a huge system." Zhu Shiqiang said, "Zhijiang Laboratory will also continue to take artificial intelligence driven by data and knowledge as the direction, deeply tap the potential of artificial intelligence, and fully support the transformation of medical and healthcare industry and the development of digital society."
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