The main reason we develop and use artificial intelligence to help us diagnose diseases is because it can help us diagnose diseases more "accurately". With AI, the programmer doesn't have to make the causal connections directly, but rather "teaches" the computer how to improve the connections through better algorithms so that it can diagnose diseases more accurately.
On October 13th, the Yunqi conference intelligent medical special field, Ali Health for the first time to disclose cutting-edge progress - and is located in Hangzhou, Zhejiang University School of Medicine Affiliated Hospital (hereinafter referred to as the first hospital attached to ZJU), Zhejiang University School of Medicine Affiliated Hospital (hereinafter referred to as the second hospital attached to ZJU), and the Shanghai Jiaotong University School of Medicine Affiliated Xinhua Hospital (hereinafter referred to as Xinhua Hospital). Affiliated Xinhua Hospital (hereinafter referred to as Shanghai Xinhua Hospital), the three hospitals signed a contract to accelerate the landing of intelligent health care.
According to information released by the Chinese Academy of Medical Sciences, the three hospitals were ranked in the TOP50 list of China's hospitals' scientific and technological influence in 2016, ranking No. 5, No. 32 and No. 47 in the country, respectively.
Making Artificial Intelligence Smarter -
Jointly with First Affiliated Hospital of Zhejiang University Unveiling Medical Artificial Intelligence Zhejiang Provincial Engineering Laboratory
"Medical Artificial Intelligence Zhejiang Provincial Laboratory," declared by AliHealth and the First Affiliated Hospital of Zhejiang University***, will soon land in Hangzhou, China. (Need to match the scene picture)
The laboratory is relying on the first hospital affiliated with Zhejiang University for the construction and management of the entity research institutions. In the future, the two sides will join forces in the field of medical artificial intelligence to build a set of intelligent medical research system with intelligent decision-making, intelligent assisted diagnosis and intelligent information security as the research direction.
The lab plans to spend three years from 2018-2020 to build four major public **** platform products, including a blockchain technology-based medical association data platform, a medical artificial intelligence image-assisted diagnosis platform, a medical big data intelligent research platform, and a medical artificial intelligence clinical decision support platform, to realize the application of artificial intelligence, data mining, and other technologies in the field of medical treatment in Zhejiang Province.
" High-quality medical resources are concentrated in the provincial capital, and the capacity of primary medical services is relatively insufficient. In Zhejiang Province, for example, 70% of the three A hospitals are concentrated in Hangzhou, and nearly 70% of the patients received by the First Hospital of Zhejiang University each year come from outside the city. And medical artificial intelligence technology is an effective means to solve the shortage of primary medical service capacity and improve the early screening of high-risk diseases." Wang Weilin, president of the First Hospital of Zhejiang University, said.
Previously, the release of Doctor You, a medical AI system developed by AliHealth, was aimed at letting AI take on the role of a professional doctor's assistant, hoping to "reduce the workload of doctors by half in 10 years. The cooperation will allow DoctorYou to become "smarter" with the help of clinical research, and accelerate the application of artificial intelligence to the ground.
Make doctors more professional--
Hand in hand with the Second Affiliated Hospital of Zhejiang University to build a "virtual patient", *** build "medical personnel intelligent training platform"
.However, artificial intelligence is even smarter, but also the role of the human doctor's assistant. At the same time that artificial intelligence is improved, the ability of doctors also needs to be improved in the Internet + era. 13 cloud perch conference of intelligent medical forum, ali health presents a new example of cooperation of the Internet + hospital.
On the same day, AliHealth, ZJU Hospital, public welfare organization China Medical and Health Care Development Foundation, the three parties jointly announced that they will play to their respective strengths, unite the national medical institutions, social organizations and enterprises, to open up the way of cooperation, *** with the promotion of the "medical personnel intelligent training platform" construction.
At present, the three parties are trying to desensitize the data of various clinical cases and turn them into three-dimensional "virtual patients", through human-machine voice interaction, simulated scenarios of treatment, online discussion, comprehensive scoring, and the realization of the clinical diagnosis and treatment capacity of medical personnel, assessment, evaluation, and supervision, so that the diagnostic and treatment experience of various types of diseases can be accumulated and passed on to the next generation.
Based on the "virtual patient" online training system, combined with the standardized residency training and continuing education training for doctors, the project will develop an intelligent training management platform for doctors to realize a standardized, informatized, programmed and systematic training system for medical talents, and build a national-level "intelligent training platform for medical talents". "intelligent training platform for medical talents".
Making hospitals more convenient--
Signing with Shanghai Xinhua Hospital, Alibaba is exploring a new model of "smart hospitals"
Pediatricians are in short supply, information silos remain, medical resources are unevenly distributed, and the advancement of hierarchical diagnosis and treatment has been hampered. Obstructed ...... In the face of all the difficulties encountered in the health care reform, the traditional hospital "is not alone in the fight", the Internet giant's accession to the problem of the above difficulties to provide more possibilities.
In the 13th Hangzhou Yunqi Conference held in the wisdom of the medical field, led by Alibaba Health, Alibaba formally with the Shanghai Jiao Tong University School of Medicine Affiliated Xinhua Hospital (hereinafter referred to as the Shanghai Xinhua Hospital) signed a strategic cooperation agreement, *** with the exploration of the "wisdom of the hospital" a new model. AliHealth CEO Wang Lei and Shanghai Xinhua Hospital President Sun Kun attended the event and signed the agreement.
The cooperation agreement shows that Alibaba and Xinhua Hospital will be committed to building a hybrid cloud platform for hospitals, a cloud pediatrics medical association platform, developing an intelligent training system for doctors, a data platform for medical research, and realizing the whole process of mobile payment for in-hospital medical consultations, so as to create a model "smart hospital". It is understood that the cooperation between the two sides will have the potential to enhance the level of pediatric clinical technology and service capacity in the northern region of Shanghai, which involves the training of grass-roots pediatricians and other issues can be accelerated through the intelligent training system for doctors to be able to solve the phenomenon of the shortage of pediatric medical resources is expected to be alleviated through the cloud pediatrics healthcare consortium platform.
"In 2017, the 'Internet+Medicine' iteration entered the "3.0" era led by cutting-edge technologies such as big data, AI, and healthcare consortium." Ali Health CEO Wang Lei said, "Even though the industry is changing rapidly, the purpose of technology is ultimately for health, which is also the unchanging original intention of Ali Health - 'let big data help medical treatment, use the Internet to change health '.
As the flagship platform of Alibaba Group in the field of healthcare, AliHealth has cooperated with many governments, hospitals, research institutes and other external organizations to carry out pilot practices in multiple directions such as hierarchical diagnosis and treatment, healthcare consortiums, and smart healthcare, to establish a highly efficient and intelligent diagnostic and treatment platform integrating online and offline, to help healthcare institutions do a good job in disease management and healthcare decision-making, and ultimately to let the public enjoy universally accessible medicine and healthcare services. The company's products and services have been widely recognized by the public and the public.