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Philips CEO He Guowei: Let artificial intelligence penetrate all Philips productsDate: 2018-05-15 16:36
He Guowei, CEO of Philips Greater China
Recently, Philips announced the AI ​​health care strategy at the Global Artificial Intelligence Products Application Expo and showcased its AI technology-driven products and solutions.
He Guowei, CEO of Philips Greater China, said that artificial intelligence has broken through technical bottlenecks such as data algorithms and storage, the aging of Chinese society and the occurrence of a higher rate of chronic diseases, and an increasing gap between professional medical personnel AI helps people do more accurate medical treatment, reduces the burden on the entire medical system, and provides assistance to doctors as an inevitable trend.
According to the official introduction, Philips included AI as a development strategy five years ago, investing 1.7 billion euros in research and development each year, of which 60% is used for software development, and its results have been reflected in products and solutions. Currently, 25% of Philips scientists are conducting research on about 250 topics related to AI and big data, and are closely integrated with clinical scenarios and workflows, including natural language processing, big data mining and analysis, building structured clinical databases, and images Identification, image-assisted diagnosis, interventional therapy, genomics, chronic disease management, home care, cloud platform solutions, etc.
It can be seen that Philips has elevated AI to a strategic level, and artificial intelligence has penetrated into almost all Philips products, services and solutions.
Optimize data and predict disease
At present, there are many problems in the combination of medical and AI. For example, in terms of data, more than 80% of medical data is in an unstructured state, and a unified information system has not been implemented among various medical institutions, resulting in information barriers. Many data are also limited to the scientific research stage and lack the application of business models. The data requires rigorous quality and energy control, including sources, supervision, training, and evaluation. The quality control level at this stage needs to be improved.
Turning unstructured data into structure requires a deep understanding of clinical medicine, which requires high-level doctors to assist. For some key data, special remarks are needed to train the machine to recognize the lesion. Only by highly subdividing the data and improving its analytical capabilities can it provide clinicians with an integrated and accurate diagnosis. He Guowei said.
He Guowei told Sina Technology that Philips has built big data for 70,000 ICU patients worldwide over the past 15 years, and built a risk model on this basis. Using AI technology, it is now possible to predict the risk of important organs in patients with serious illnesses three hours in advance and make recommendations to clinicians in advance. In addition, artificial intelligence technology can help predict the risk of cardiac arrest.
At the same time, he also said that in terms of data analysis, China has a lot of data from different sources. When collecting and sorting Philips, it must follow international guidelines and national regulations. Hospital data is definitely owned by hospitals and patients.
So as a foreign company, what solutions did Philips and Chinese partners use AI to do?
He Guowei introduced that Philips and many partners have launched R & D projects. In terms of scientific research, Philips has cooperation with Shanghai Zhongshan Hospital, Huashan Hospital, Beijing First People's Hospital, etc. As for the specific application, He Guowei introduced to Sina Technology that in the field of liver cancer diagnosis and treatment, artificial intelligence can be used to automatically segment the whole liver and the lesion area, and the automatic extraction and calculation of LIRADS features can be realized to automatically classify suspected primary liver cancer until Generate structured reports automatically.
Pulmonary nodules of 4-30 mm in size can be seen on the Philips intelligent platform, with an error rate of 1, a sensitivity of 85.3%, and a specificity of 93.9%.
In the early screening of breast cancer ultrasound, the AI ​​module can mark suspicious areas in real time, extract image texture, shape, blood vessel density, blood flow, perfusion and other information to help determine the benign and malignant suspicious areas and achieve the first accurate diagnosis.
For patients with complex heart diseases, such as babies with congenital heart disease, the small blood vessels require high precision in surgery. Using artificial intelligence, you can detect the complex anatomical structure of the heart, understand the blood flow in tiny blood vessels through 4D models, and make precise joint planning before surgery. These are all technical application cases that can be realized at present.
Stem brain project will land in Xuanwu Hospital digital twins is a trend
In addition to the above-mentioned projects that have already been implemented, He Guowei introduced two leading-edge projects of Philips to Sina Technology.
The first is the remodeling of brain function. Some patients with brain trauma or stroke-like illness, after losing their exercise ability, can control external combined robots through the non-destructive introduction of his brain signals to help patients return to a nearly normal life state. Simply put, it is through the remodeling of brain functions that patients can use their brains to control external robots to walk again. This is part of the 2014 National Brain Stem Program in the United States. In May this year, the first set of equipment will be deployed in Beijing Xuanwu Hospital.
Another Philips study is digital twins. He Guowei said that the vision of the AI ​​health care field is to collect and gain insight into complete vertical patient information, including: demographic data, family history, genomic profiles, clinical cases, imaging reports, drug use, and even personal health data. Digital twins for each individual. When the complete patient longitudinal data is compared with the horizontal data based on big data analysis, this is a combination of artificial intelligence technology and physiological information, which will have a profound impact on the entire health care system. The project has not yet landed, and Philips will invest more energy to improve it in the next few years.
He Guowei, CEO of Philips Greater China
Recently, Philips announced the AI ​​health care strategy at the Global Artificial Intelligence Products Application Expo and showcased its AI technology-driven products and solutions.
He Guowei, CEO of Philips Greater China, said that artificial intelligence has broken through technical bottlenecks such as data algorithms and storage, the aging of Chinese society and the occurrence of a higher rate of chronic diseases, and an increasing gap between professional medical personnel AI helps people do more accurate medical treatment, reduces the burden on the entire medical system, and provides assistance to doctors as an inevitable trend.
According to the official introduction, Philips included AI as a development strategy five years ago, investing 1.7 billion euros in research and development each year, of which 60% is used for software development, and its results have been reflected in products and solutions. Currently, 25% of Philips scientists are conducting research on about 250 topics related to AI and big data, and are closely integrated with clinical scenarios and workflows, including natural language processing, big data mining and analysis, building structured clinical databases, and images Identification, image-assisted diagnosis, interventional therapy, genomics, chronic disease management, home care, cloud platform solutions, etc.
It can be seen that Philips has elevated AI to a strategic level, and artificial intelligence has penetrated into almost all Philips products, services and solutions.
Optimize data and predict disease
At present, there are many problems in the combination of medical and AI. For example, in terms of data, more than 80% of medical data is in an unstructured state, and a unified information system has not been implemented among various medical institutions, resulting in information barriers. Many data are also limited to the scientific research stage and lack the application of business models. The data requires rigorous quality and energy control, including sources, supervision, training, and evaluation. The quality control level at this stage needs to be improved.
Turning unstructured data into structure requires a deep understanding of clinical medicine, which requires high-level doctors to assist. For some key data, special remarks are needed to train the machine to recognize the lesion. Only by highly subdividing the data and improving its analytical capabilities can it provide clinicians with an integrated and accurate diagnosis. He Guowei said.
He Guowei told Sina Technology that Philips has built big data for 70,000 ICU patients worldwide over the past 15 years, and built a risk model on this basis. Using AI technology, it is now possible to predict the risk of important organs in patients with serious illnesses three hours in advance and make recommendations to clinicians in advance. In addition, artificial intelligence technology can help predict the risk of cardiac arrest.
At the same time, he also said that in terms of data analysis, China has a lot of data from different sources. When collecting and sorting Philips, it must follow international guidelines and national regulations. Hospital data is definitely owned by hospitals and patients.
So as a foreign company, what solutions did Philips and Chinese partners use AI to do?
He Guowei introduced that Philips and many partners have launched R & D projects. In terms of scientific research, Philips has cooperation with Shanghai Zhongshan Hospital, Huashan Hospital, Beijing First People's Hospital, etc. As for the specific application, He Guowei introduced to Sina Technology that in the field of liver cancer diagnosis and treatment, artificial intelligence can be used to automatically segment the whole liver and the lesion area, and the automatic extraction and calculation of LIRADS features can be realized to automatically classify suspected primary liver cancer until Generate structured reports automatically.
Pulmonary nodules of 4-30 mm in size can be seen on the Philips intelligent platform, with an error rate of 1, a sensitivity of 85.3%, and a specificity of 93.9%.
In the early screening of breast cancer ultrasound, the AI ​​module can mark suspicious areas in real time, extract image texture, shape, blood vessel density, blood flow, perfusion and other information to help determine the benign and malignant suspicious areas and achieve the first accurate diagnosis.
For patients with complex heart diseases, such as babies with congenital heart disease, the small blood vessels require high precision in surgery. Using artificial intelligence, you can detect the complex anatomical structure of the heart, understand the blood flow in tiny blood vessels through 4D models, and make precise joint planning before surgery. These are all technical application cases that can be realized at present.
Stem brain project will land in Xuanwu Hospital digital twins is a trend
In addition to the above-mentioned projects that have already been implemented, He Guowei introduced two leading-edge projects of Philips to Sina Technology.
The first is the remodeling of brain function. Some patients with brain trauma or stroke-like illness, after losing their exercise ability, can control external combined robots through the non-destructive introduction of his brain signals to help patients return to a nearly normal life state. Simply put, it is through the remodeling of brain functions that patients can use their brains to control external robots to walk again. This is part of the 2014 National Brain Stem Program in the United States. In May this year, the first set of equipment will be deployed in Beijing Xuanwu Hospital.
Another Philips study is digital twins. He Guowei said that the vision of the AI ​​health care field is to collect and gain insight into complete vertical patient information, including: demographic data, family history, genomic profiles, clinical cases, imaging reports, drug use, and even personal health data. Digital twins for each individual. When the complete patient longitudinal data is compared with the horizontal data based on big data analysis, this is a combination of artificial intelligence technology and physiological information, which will have a profound impact on the entire health care system. The project has not yet landed, and Philips will invest more energy to improve it in the next few years.
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