Artificial intelligence has already entered reality from theory and applied to a large number of life scenes. In the field of medical treatment, this technology also has broad prospects. Recently, subtle medical, a well-known artificial intelligence medical imaging technology company, announced heavy cooperation news and obtained heavyweight market cooperation and application landing resources.
Deep penetration medical has reached business agreements with radnet, the largest Imaging Center Alliance in the United States, capstone, the largest medical Procurement Alliance in the United States, and panoramic medical, the largest pet / CT and PET / MR high-end imaging examination group in China. Previously, Shentou medical has reached business agreements with affidea, the largest third-party inspection organization in Europe, and dasa, the largest medical inspection organization in South America.
“At present, AI products of deep penetration medicine, such as subtlemr, which accelerates and optimizes medical imaging ™、 SubtlePET ™ And others have entered the stage of clinical use all over the world. In cooperation with the alliance of top imaging institutions, we will continue to accelerate the landing application and improve the patient’s medical experience and medical imaging efficiency. ” Gong Enhao, founder and CEO of Shentou medical, said.
It can be said that deep medical AI products have been widely used in clinical imaging and become an indispensable step in the new imaging standard process. Clinical partners such as radnet, capstone and panoramic medical all unanimously emphasized the great value-added potential of their technology to the existing clinical business.
Radnet said, “the application of artificial intelligence technology will have a transformative impact on our business. Deep medical technology is very important to improve the patient experience and help us meet new business needs.”
Radnet is the largest diagnostic imaging service provider in North America. It owns and operates 346 medical imaging centers, providing nearly 10 million imaging services every year, covering 25% of the inspection population in the United States. This cooperation will accelerate the image enhancement software subtlemr of deep medical treatment ™， Application in the whole network imaging center. Using deep medical technology, radnet can improve the efficiency of medical imaging services and provide patients with a better experience. The two sides will also carry out cooperation in the research and development of new products and technologies in magnetic resonance, nuclear medicine, CT and other directions.
Robin Lincoln, senior vice president of capstone, said, “deep penetration medicine is a company with breakthrough technology, which can help prolong the service life of existing imaging instruments and improve the experience of patients and doctors.”
Capstone is one of the largest medical procurement alliances in the United States. Its members include more than 300 hospitals in more than 100 health systems in 23 states. The alliance will help members save medical costs and share the latest medical technologies and practices.
Dr. Gao Xin, director of scientific research management center of Shanghai panoramic Medical Imaging Technology Co., Ltd. and medical vice president of Shanghai panoramic medical imaging diagnosis center, said, “it is of great clinical value to further optimize the detection quality and efficiency of magnetic resonance (MR) and PET images through artificial intelligence, and further shorten the time of overall petmr and other high-end examinations.”
Panoramic medical imaging is one of the first domestic third-party independent medical imaging diagnosis centers approved by the health commission. It has an experienced team led by senior imaging professors, and is equipped with global “multimodal” image screening equipment PET / MR, PET / CT, 3.0T magnetic resonance, etc. At present, panoramic medical imaging is the largest imaging examination institution providing PET / MR, PET / CT scanning and difficult disease diagnosis in China.
Panoramic medical has an excellent team, led by experienced senior imaging professors, and relevant clinical studies have been published in international top clinical academic conferences for many times
After reaching cooperation with radnet, capstone and panoramic medical, deep penetration now has heavyweight partners in many regions around the world, covering China, North America, Europe, South America and other places, promoting the full network clinical business deployment of AI imaging products such as subtlemr of deep penetration medical in several of the world’s largest third-party imaging alliances. At present, deep penetration medicine is gradually becoming a standardized service provider for upstream applications of AI medicine.
AI changes medical imaging
Medical imaging technology represented by MRI and magnetic resonance makes modern medicine more accurate and reliable by providing doctors with more important information. However, these devices are often expensive and time-consuming. In many cases, they can not fully meet the needs of doctors and patients. With data statistics, MRI and other imaging technologies, 90% of their cost and a lot of time-consuming are actually spent in the process of machine imaging.
The technology represented by artificial intelligence can bring faster acquisition efficiency, enhanced image quality, clearer pathological details, and more efficient and confident diagnosis for radiologists. The main business of deep penetration medical is to enhance the quality and efficiency of medical imaging. The company was established at the end of 2017. At present, it is a leading company in the field of AI medical imaging. It has been selected as one of the top 100 global ai100 of CB insight and the top 100 medical companies in the future for many times.
The lancet, a well-known medical journal in the world, has published special papers. Taking a variety of deep medical products as an example, it focuses on the application of artificial intelligence in improving the quality, efficiency and resolution of clinical images.
It is mainly based on the core technology of deep learning algorithm, which can be said to be an intelligent upgrade of the existing medical image system – it can be compatible with all brands of medical imaging instruments to help strengthen the image quality in the imaging process, and will not interrupt or affect the existing medical image acquisition process. It is very easy to embed into the clinical scene. In addition to improving the effectiveness, efficiency and quality of medical images, its technology can also reduce the amount of contrast agent and reduce the impact on the human body.
Up to now, deep penetration medical has released three groundbreaking AI medical imaging products, subtlepet ™、 And subtlemr ™ And subtlegad ™， It has also developed many pipeline products in CT, nuclear medicine, interventional imaging, drug development, clinical imaging trials and many other aspects.
SubtleMR ™ It can greatly reduce the MRI detection time, enhance the image quality through AI technology, and ensure that the medical image quality is consistent with or even better than the previous MRI detection; SubtlePET ™ AI image processing can be carried out for PET examination (positron emission tomography) commonly used in the fields of cancer treatment, neurology and cardiology, so as to improve the pet detection speed by four times. Previously, subtlepet has obtained FDA certification and European CE certification, and can be applied to all kinds of nuclear medicine applications, covering tumors, Alzheimer’s disease and other neurological diseases.
SubtleGAD ™ It is the patent certification granted by the U.S. patent and Trademark Office, USPTO, and the related subtlegad ™ The product uses AI technology to significantly improve the development effect of tumors and lesions in magnetic resonance imaging, which is equal to the 10 times dose effect, and optimize the dosage and mode of contrast agent in medical image examination. At present, it has cooperated with many imaging pharmaceutical companies around the world.
Dr. Gong Enhao, the founder and CEO of Shentou medical, was an outstanding graduate of Tsinghua University and later obtained a doctorate in electronic engineering from Stanford University, specializing in artificial intelligence imaging research. He is also a successful continuous entrepreneur. Other members of the company’s founding team also have decades of clinical, technical or industrial background. For example, co-founder Dr. Greg zaharchuk is a professor at Stanford University School of medicine, a well-known radiologist, neuroimaging expert and the head of the frontier functional neuroimaging laboratory. The company’s technology has won international honors such as NVIDIA insight’s “global medical AI startup” award and cbinsight’s global top 100 AI.
Obtain international medical certification and promote clinical application
Currently, subtlepet ™ And subtlemr ™ They have been certified by FDA of the United States and CE of Europe for several times and have been used clinically in many countries around the world.
FDA certification and CE certification are often regarded as the only way for medical services to enter the European and American markets. This is the first step of deep medical in the medical application of artificial intelligence, and it is also an important milestone for the company. These two certifications highlight the strength of deep medical teams and make them stand out from many companies doing computer-assisted diagnosis or image processing.
In the release of this strategic cooperation with radnet, deep penetration medical also revealed that its technology has been clinically verified at multiple sites under radnet, various types of imaging instruments of various brands and patients with different diseases in the past two years. The results show that it has good performance in imaging quality and lesion detection. This is also the reason why radnet dares to promote deep medical technology solutions in its more than 300 imaging centers.
The United States is one of the most important medical imaging markets in the world, with a market capacity of US $100 billion. With the cooperation between radnet and capstone, deep medical can effectively reach this huge market and promote the application of products.
In addition, in Europe across the Atlantic, deep penetration medical technology is also accelerating clinical application. At the end of last year, afidea, the largest imaging center in Europe, cooperated with deep penetration medicine, and published a paper in ejnmmi, the top international journal of molecular imaging. It introduced the analysis results of the industry’s first multi center clinical AI experiment for image low-dose enhancement software, and clinically verified the clinical value and stability of deep penetration medicine’s AI algorithm in medical science and technology.
Recently, Shentou medical, together with Stanford University School of medicine, University of Southern California School of medicine, University of Pittsburgh School of Medicine (UPMC), Oregon University of health and Sciences (OHSU) and other top clinical imaging research institutions, jointly published papers in the top academic journal Nature and the cooperative Journal npj Digital Medicine (impact factor 11.6), For the first time in the world, multicenter double-blind prospective imaging upstream AI clinical validation was carried out. A large number of clinical examples were analyzed to verify that subtlepet can significantly improve image quality and efficiency and has wide universality.
These cases of clinical application are exciting news for doctors and patients. It is reported that Shentou medical has also cooperated with international leading imaging equipment manufacturers such as Siemens Medical, general medical, Philips Medical and Neusoft medical, as well as a number of head pharmaceutical companies to introduce artificial intelligence technology into relevant equipment and pharmaceutical R & D applications, so as to improve image quality and speed up work efficiency.
From technology giants such as Intel NVIDIA, equipment manufacturers such as general motors, and technology start-ups such as deep medical, they are promoting the application of artificial intelligence in the field of medical imaging.
It is not hard to imagine that with the digital and intelligent transformation of the medical system and the increasing demand for more sophisticated medical services, these efforts will soon make artificial intelligence technology a part of the standard process of medical imaging, which not only improves the experience of doctors and patients, but also means great market potential.