In March, the strategic cooperation conference, organized jointly by the United States in health Philips, the two sides launched a new achievement of cooperation - an important part of Philips ultrasound Chi i platform "AI Breast intelligent ultrasound system." The future, the two sides will expand cooperation in the field of ultrasound in the application of artificial intelligence.
Coincidentally, iKang late last year released "IKangAI +" according to Figure plans to work with health care, deep Rui medical, Airdoc, Baiyoung technology, Baidu ET medical brain, IFLYTEK and other life science companies, which had just left home Nasdaq grams medical giants in an attempt to provide new solutions to health care for residents with artificial intelligence, to seek deeper and more timely health management.
In terms of public hospital examination AI also made an attempt. June 18, the Guangdong Provincial People's Hospital on the second line of artificial intelligence large health management platform, big data analysis by AI and health of users, providing health management services.
For medical institutions, change of heart by the power of AI has been around the corner. AI medical companies, medical institutions have become an important way to pay.
Doctor shortage of resources distress
Long-term scarcity of high-quality medical resources on a global scale, the same is true medical industry.
From 1998, the first commercial medical institutions born in Beijing, the domestic business experienced a rapid physical development. Prospective Research Institute data show that by the end of 2017, the National Private medical market size of 240 billion yuan, accounting for 18.1% of the total share of the market. According to research reported Shenwan Hong source, third-party Frost & Sullivan forecast that private medical market size in 2020 will reach 54.9 billion yuan, accounting for medical market share will rise to 22.9%.
According to the United States on health 2018 Annual Report, the company achieved revenues of 8.458 billion yuan, an increase of 34.64%; net profit attributable to shareholders of listed companies 821 million yuan, an increase of 40.53%.
Report shows that in 2018, in the United States in the consolidation of a healthy, while the second-tier cities, increase the layout third and fourth tier cities in 31 provinces, municipalities and autonomous regions and 301 cities landed 633 medical centers (including under construction ). For the full year more than 30 million people provide professional health services. It is understood that in 2019 this figure is expected to exceed 40 million passengers.
In time of rapid growth, fewer doctors this problem also plagued the medical profession. According to the original Ministry of Health promulgated the "Provisional Regulations on Administration healthy," medical health care institutions have at least two certified physicians with medical or surgical professional titles qualifications Fugaoyishang technology, clinical examination of each department have at least a mid-level professional titles above qualifications of medical practitioners, there are at least 10 nurse practitioners. In front of "adequate" reality, such a configuration is not easy to achieve.
AI technology as the medical industry hope
Earlier, a severe shortage of medical resources but also to the health of the US was caught in the storm. 2018, the United States in Guangzhou Fuhai health clinics former employees broke the news that, in the United States with a fake medical report issued by a doctor and other irregularities.
Subsequently, the Guangzhou Tianhe District, Bureau of Health released a notice, saying the United States in Guangzhou Fuhai clinics alleged breach and violation reports issued to carry out treatment services. Bulletin also said that for the United States and Guangzhou suspected of Fuhai radiology clinic without obtaining permission, that is, to carry out illegal acts of radiation treatment services being opened investigations further investigation to verify the existence of the agency to use non-qualified staff induction practicing doctors and fraudulent signatures problem.
In this context, medical institutions are trying to use AI technology to solve two problems: on the one hand, AI will improve health care quality and efficiency, reduce interpretation costs. Large data from CT diagnostic radiology services to the medical report of the analysis, the use of AI techniques can help doctors improve efficiency and reduce human error. On the other hand, lead management service model changes, including automation equipment requirements, training and standardization of intelligent diagnostic results focus on standardizing business processes.
According to Icahn, chairman and ceo Zhang Ligang, currently Icahn has introduced a number of artificial intelligence technology help medical screening, inspection management and treatment after three major areas. For example, the Icahn Group to introduce the Airdoc retinal image analysis technology of artificial intelligence, through retinal photographs, automatic identification of diabetes, hypertension, atherosclerosis, cancer and other 30 kinds of diseases.
In addition, Icahn also introduces artificial intelligence project management of blood glucose, AI modeling can be done by continuously monitoring blood sugar diet and relationships to guide users through personalized scientific diet, control sugar so as to achieve the goal. In the field of oncology, Icahn also announced a strategic cooperation with Baiyoung smart technology, the 14 "Icahn Baiyoung Watson tumor intelligent Consultation Center" 13 cities in the country can get AI tumor treatment program.
As early as 2016, the United States and in the process use CT healthy Ali cloud algorithm, to determine the specific problems of different parts of the body image through marker-assisted AI technology, the formation of checks "white list" and "blacklist."
Under the user's health status will be included in the "white list", but once the lesions may be hidden dangers, AI user will be included in the "blacklist", and pay attention to specific issues mark, to avoid missing. For these "black list" of users, doctors will focus on care. This will not only shorten the residence time of the radiologist in the healthy image, enhance the efficiency of the doctors read the piece, while the doctor's misdiagnosis rate has also been reduced.
In addition, the final report of the US health examination in health to provide customers with in depth report contains the contents of large data. The contents of the physical examination of personal medical data on health and beauty huge database over the years than do 11 to form the depth of interpretation personalized report. Reports from authoritative recommendations given daily diet, exercise, rest and medical care and other aspects.
In 2018, US health report shows that in 2019, the United States will continue to Healthy layout in the area of health development of medical AI. The company will set up a wholly owned subsidiary of US health Artificial Intelligence Technology Co., Ltd., to build AI ecological map. Combined with genetic data to medical data, intelligent risk assessment;
In MRI imaging system for early warning health screening brain; a capsule robotic systems AI stomach health diagnosis; diagnosis system in a fundus Sugar screening; to bind genetic data flow samples drug discovery; low dose helical CT lung small nodule screening; physical examination combined with intelligent hardware health management.
AI short term can not replace "false" Dr.
It is noteworthy that, even if the medical giants of AI has placed infinite hope, but at this stage there are limits to the ability of many AI, which also caused some obstacles to medical institutions layout AI.
First, the current AI solution requires continuous optimization and upgrading. Lung nodules, for example, there are many solutions for screening in nodules, often false negative false positive phenomenon, it requires a combination of screening the doctor's professional judgment to draw accurate conclusions.
Secondly, the limited medical AI applications. AI on the market, the vast majority of companies focus on superficial ultrasound and CT lung nodules (breast and thyroid), the urgent need for more examination of abdominal ultrasound and MRI interpretation AI, AI involves small, but valuable.
Furthermore, the moment of AI can only do auxiliary tool, not for direct diagnosis. State Drug Administration has not yet been formally approved three AI certification of medical products, the current AI technology only as a tool to aid medical screening for the disease, we can not directly issue AI diagnostic conclusions.
Finally, at home and abroad has essentially different requirements for intelligent devices to fundus, for example, can issue a diagnostic report to an FDA-approved IDx directly to patients without a doctor's intervention, and even domestic category 3 State Drug Administration Device approval certificate hand, can not be out of the doctor, the patient is given directly diagnosis. This means that the country's health care system, there must be a doctor responsible for diagnosis.
AI is still in the short term can not replace a doctor.
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