China AI in Healthcare market is segmented into AI integrated Hardware, Software and Services.
- AI integrated Hardware includes Processor, Memory and Network.
- Software includes on-premises and cloud solutions along with an AI platform which houses the machine learning framework and the Application Program Interface.
- Services include Deployment and Integration of AI hardware and software solutions, Support and Maintenance.
Based on the technology used, the China AI in Healthcare market is segmented into Machine Learning, Natural Language Processing, Context Aware Computing and Computer Vision.
- Machine Learning has further types like Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning and others. Imaging and diagnostics, and drug discovery are among the applications that use deep learning. It is also used to automate data analysis to deal with large volumes of data.
- Natural Language Processing is widely used by clinical and research community in healthcare to develop and manage semi-structured and unstructured textual documents, such as electronics health reports, pathology reports, and clinical notes. The demand has risen with increase in number of healthcare institutions structuring and interpreting their data more accurately.
- Context Aware Computing has seen a boom after the development of sophisticated hard and soft sensors.
- Computer Vision has been responsible for significant contributions to the fields of surgery and therapy. This offers precise diagnoses, minimising false positives. Computer vision algorithms are trained to utilise huge amounts of data to detect the presence of a condition which the human doctors might miss owing to their sensory limitations.
By End-Use Application:
Based on the end use application, the market is segmented into patient data and risk analysis, Inpatient care and hospital management, medical imaging and diagnostics, Lifestyle management and remote patient monitoring, Virtual Assistants, Drug discovery, Research, Healthcare Assistance Robots, Precision medicine, Emergency room and surgery, Wearables, Mental Health and Cybersecurity.
- Patient risk algorithms consider several variables and express the results as the percentage risk of developing a major fatal or nonfatal disease in the coming years. They offer solutions that can provide predictive insights into patient health using machine learning and natural language processing algorithms.
- AI and machine-learning methods have the potential to improve the quality and lower the cost of patient care through Clinical Decision Support Systems.
- Healthcare AI start-ups work in the field of Imaging and Diagnostics generating a large volume of challenging data which is simplified with extraction of insights using machine learning.
- The AI enterprises in United State cover a variety of fields in the medical care system, while in China, AI enterprises have been mostly working on medical imaging due to the rapid growth of clinical demands, the imbalanced distribution of high-quality healthcare resources and the lack of medical imaging doctors around the country.
- iCarbonX is a Shenzhen, China-based that offers an application development platform, which can help software developers at healthcare businesses create health monitoring apps using machine learning.
- 12 Sigma Technologies, a Chinese company with 21 employees and offices in San Diego offers medical data analysis software, which can help hospitals and physicians make medical diagnoses using deep learning.
- VoxelCloud , a Los Angeles-based company with offices in Shanghai and Suzhou offers a medical image analysis software, which can help physicians make more accurate clinical decisions using computer vision.
- Huiyihuiying, Imsight, 12Sigma, YiTu, VoxelCloud, DianNei and Dexhin are some of the best Chinese Ai Medical Imaging companies. Huiyihuiying is a company that specialises in imaging lung cancer and stages and is successful to contribute to 45,000 case examinations in a day.
- Companies like XtalPi, Deep Intelligent Pharma, ForceCloud, LinkDoc, GigaCeuticals, and Accutar Biotechnology focus on AI supported drug development endeavours.
- Companies like Dnurse, Intellchildcare, iCarbonX deal with AI supported health management systems.
By End User:
Based on the end user, the China AI in Healthcare market is segmented into the following:
- Hospitals and healthcare providers, where AI is used to predict and prevent readmissions and improve operations of hospitals. Ambulance equipped with AI and big data is being used in the eastern Chinese city of Hangzhou. This system is part of a trial by a Chinese tech giant, Alibaba Group Holding Ltd.
- Patients, where smartphone applications and wearables are targeted to promote the adoption of AI.
- Pharmaceuticals and Biotechnological companies, where drug discovery, precision medicine and research are targeted to drive the use of AI.
- Healthcare Payers, where AI is promoted for use in managing risks, identifying claims, trends and for maximising payment accuracy.
- Others that include patient data, risk analysis etc.
Top 5 Major Players
IBM Corporation, NVIDIA Corporation, Microsoft and Intel Corporation, iCarbonx are the major players in China’s AI market.
At AMIA 2020, IBM showcased its work related to AI in Healthcare through injection of clinical knowledge and by incorporating an adaptive healthcare system. One such example is Watson for Drug Discovery from IBM Watson Health is a platform that mines text and data in medical literature to identify, assess, and rigorously formalize the relationships among genes, diseases, and drugs to help researchers uncover potential new therapies and find new uses for existing medicines.
NVIDIA develops GPUs and delivers value to its consumers through PC, mobile, and cloud architecture. NVIDIA’s partnership with GSK’s AI powered lab for the discovery of new medicines and vaccines is done on the basis of its expertise in GPU optimization and high-performance computational pipeline development along with its significant contributions to the field through NVIDIA Clara Discovery, NVIDIA DGX A100 systems and so on.
Microsoft is focused on transforming patient care with AI powered solutions for physicians, radiologists and hospitals. Microsoft is a global leader offering intelligent tools and solutions that empower clinical and operational efficiency and save costs. Azure Synapse Analytics, Azure Health GitHub Repo, Microsoft Healthcare bot, Azure API for FHIR, Azure AI and ML and Azure IoT for Healthcare are scalable platforms that bring conversational AI to healthcare. Yammer (US), Mojang AB (Sweden), StorSimple (US), and Xamarin (US) are among the subsidiaries of Microsoft.
Intel Corporation has contributed its significant share to the field of AI by transforming frontline medical care and improving patient experience for a few of their clients. Intel’s technology innovations are enabling the healthcare sector with data-driven insights and artificial intelligence by introducing various tools and solutions to simplify AI deployment in healthcare.
Healthcare Policies and Regulatory Landscape
Recent times have witnessed numerous advancements in the field of healthcare dedicating their successes to Artificial Intelligence. In the last ten years, there has been requirements and guidance for software manufacturers to demonstrate compliance to medical device regulations and to place their products on the market.
China’s AI policy mainly focuses on six categories: “made in China”, innovation-driven development, IoT, Internet+, big data, and scientific and technological R&D.
In September 2018, the National Health Commission (NHC) released Measures for the Administration of Internet Diagnosis and Treatment (For Trial Implementation), Measures for the Administration of Internet Hospital (For Trial Implementation) and Specifications for the Administration of Remote Medical Services (For Trial Implementation). According to this, the medical institutions could ask their own registered doctors to provide “Internet plus” family doctor signing services for some common diseases and follow up consultations for chronic diseases by using internet and other information technologies.
China implemented a smart medical service grading system for the development of “smart hospitals,” on March 2019. A “smart hospital” features information-based service systems including a database of patients’ medical records, a registration system, a hospital navigation system and a logistics management system. By introducing the grading system, hospitals will have a better idea about their advantages and shortcomings, giving them the ability to better allocate their resources in building themselves into “smart hospitals,”
In parallel to these efforts at the national level, cities throughout China have started to develop and release their own plans and policies for AI, including Beijing, Shanghai, Hangzhou, Zhejiang, and Tianjin etc.
Beijing plans to build a 13.8 billion RMB ($2.12 billion) AI development park that could host up to 400 AI enterprises. Shanghai plans to establish a special fund, with a target size of 10 billion RMB in the first phase, to invest in AI development. Hangzhou has launched its own AI park, along with a fund that will invest 10 billion RMB in it.