Altera If you consider the patient's entire diagnostic process as a test paper, medical imaging is like an application. The usual way to answer this question is to judge based on the doctor's visual and clinical experience. However, even highly-experienced doctors and high-precision imaging equipment may experience misdiagnosis. According to a misdiagnosis data provided by the Chinese Medical Association, the misdiagnosis rate in clinical medical care in China is 27.8%, the misdiagnosis rate of organ misalignment is 60%, and the misdiagnosis rate of malignant tumors is 40%, such as nasopharyngeal carcinoma, leukemia, and pancreatic cancer. the average rate of misdiagnosis hepatic tuberculosis, tuberculosis and other stomach extrapulmonary tuberculosis is also more than 40%. The high rate of misdiagnosis is not entirely due to the doctor's negligence and has deeper reasons. The Yasen Technology, which was established in 2006, was also thinking about this issue. There are two main categories of imaging diagnosis: structural imaging and functional imaging. The simple understanding of structural images is the “what you see is what you get†image. For example, X-ray and CT belong to this category. It can visually observe the physiological structure and determine if there are physical changes in the lesion. Find out how to play, but it does nothing for diseases that do not have obvious physical changes. Functional images, in contrast with less accurate metaphors, are equivalent to the “supplement†of structural images. This type of image can study the ability of organ cells to metabolize certain substances, thus reflecting the function of this organ. The machine examines the metabolism of radiotracers in the human body and records the data matrix of reactive energy metabolism, presented by a two-dimensional image film. Of course, its shortcomings are also very interesting: can not be positioned, the existing tools can not achieve a statistically significant quantitative analysis. The image does not reflect the actual physiological structure. Only the intensity of the image pixels can be used to indicate whether the metabolism is strong or weak, and whether the doctor is able to read the data matrix. In this way, the diagnosis can only be judged by the doctor's naked eye and experience. Even if it is an expert, the rate of missed diagnosis is 30%-50%. The multi-dimensional data matrix behind functional images, if based on accurate quantification, has a practical significance in disease diagnosis through statistical comparison with normal populations. Anestcadiz The "applications" of medical images that Yasen Technology is trying to solve are to help doctors do precise quantification. "We do not deal with surface image images and mine the data matrix behind the analysis images. We combine the Chinese normal database with statistical comparisons and draw conclusions with scientific methods. We no longer subjectively judge and increase the accuracy to 95. %.†CEO Chen Hui said. Through the analysis of medical image data, automatic diagnosis aids are realized - this is Yasser's artificial intelligence. In 2004, YASUN Technology initially provided basic IT service software and video equipment reporting systems for hospitals. However, the founders found that although the PACS developed from the ground floor has been completed, facing a few established companies that already occupy the pit, their own latecomers have no advantage at all. While thinking about the way out of the transition, the experimental topics of brain quantitative analysis with Xuanwu Hospital inspired Yasser's inspiration. The experiment requires an analysis software based on SPM thinking suitable for Chinese patients for quantitative analysis. SPM (Statistical Parametric Mapping) is a statistical parameter map. It is the most advanced theory of quantitative brain image analysis in the world, and it is also recognized as the industry standard. The analysis results based on the SPM theory can help doctors perform quantitative diagnosis and break through the limitations of the traditional methods, that is, to achieve a confidence rate of 99% or more. After consulting with the team, CTO Li Gang felt that if this quantitative analysis was applied to the analysis of other organ diseases, this would be a major subversion of the traditional diagnostic model and worthy of doing. So in 2008 Yasser started to study SPM theory, and Li Gang also began to learn medical and mathematical reserve knowledge. "Originally thought that 2-3 years can be achieved software, the actual discovery is not so simple: the use of mathematical methods to solve a medical application, which has gone beyond the simple software development." CEO Chen Hui said. Then the application of this medical image naturally surfaced: how to start with functional imaging, quantitatively, accurately and accurately conduct medical diagnosis, to eliminate the drawbacks of subjective and empirical judgments to the greatest extent, and to solve the problem of medical imaging. Misdiagnosis, high rate of missed diagnosis problems. Compared to the smart hardware industry that fights speed, medical images are not anxious, and they are in no hurry. After nearly 3 years of SPM theory and related basic knowledge learning, the Yassen team began strategic cooperation with a number of national key hospitals to cooperate on SPM technology in areas such as brain, heart, liver, spleen, tumor and multi-disease concurrency. Faced with the ever-changing medical technology, YASUN Technology also needs to put pens to answer. After several years of development, the "Bohr" quantitative precision analysis platform was born - this "Spirit of God", completed Yasser's goal of accurate image analysis. Before the "writing" solution, YASUN Technologies specified several major processes for accurate image analysis. The first is to collect image data. The original image data is read from the imaging device or PACS, followed by a series of image corrections. Followed by the normalization process to standardize the image. By establishing biophysical models of different organs, the image matrix is ​​multidimensionally normalized and preprocessed to minimize the differences in individuals' acquisition. In simple terms, the normalization is to adjust different data images to the same standard model, and then make a comparison. Subsequently, the data of the subjects to be tested and the database of normal persons were compared statistically. The most important of these is a normal person database that meets the criteria. This library needs to satisfy two conditions: Include enough dimensions, including age group, gender, medical history, ethnicity, etc. The more dimensions, the more accurate the analysis; It must undergo rigorous screening, such as basic IQ, history of brain disease, and history of mental illness. At present, the main source of Yasen's data is two aspects. The case data is derived from the research data of the cooperative hospital, and the normal data is collected by the company for payment. Combine with the Chinese Normal Population Database to achieve precise location, location, number, and volume of lesions. According to Chen Hui, this process can currently achieve 99% confidence. Finally, Yasser will give diagnostic advice and dose recommendations. The accuracy of quantitative analysis of functional images is mainly reflected in the description of abnormal areas, including location, volume, quality, severity, and suggested medications. In the future, we will use artificial intelligence methods to conduct further data processing through the medical records database to achieve automated image interpretation and diagnosis. As of now, Yasen Technology is the only medical software company on the market that can apply for CFDA-3. What concept? CFDA-3 refers to the treatment planning software, decision support software, which includes automatic auxiliary diagnosis software and drug calculation software. CFDA-2 refers to hospital information systems such as HIS, RIS/PACS, etc. It usually refers to medical information and data management, viewing, transmission, and storage, but does not include automatic auxiliary diagnosis. CFDA medical software classification As for the rewards of Jason's answer--business model, there are mainly two: landing mode and SaaS cloud service mode. The former's main users are top-three and high-end foreign private hospitals, either in the form of purchase licenses or by providing hospitals with an accurate analysis platform free of charge, and monthly or pay-as-you-go services for database use; the latter mainly for secondary hospitals, providing analysis The cloud platform and analysis report are further transmitted to the corresponding industry experts for diagnostic guidance. By 2012, YASEN completed the basic platform for image processing and algorithmic technology. By 2014, it will enter clinical trials and fully initiate productization. As Li Gang, Dean of the YASUN Institute of Technology, said, “We believe that the development of quantitative analysis of large-scale image data will inject vitality into the new era of digital imaging; the accurate diagnosis will provide a continuous stream of momentum for the development of medical science. ." This application of medical imaging, Yasen took 7 years to officially give up a satisfactory answer. It is believed that the development of medical imaging diagnosis will become more beautiful as the quantitative analysis continues to optimize. If you are interested, you are welcome to watch the Yassen Technologies promotional video. Lei wears the public number of Lei Feng Network (search "Lei Feng Network" public number attention) , concerned about sports health products and technology. If you want to talk about your own business story, you can add Xiaobian Wechat 417423625, or send an e-mail to. 5G Integrated Lithium Ion Battery 5G Integrated Battery,51.2V Battery System,Integrated Lithium Ion Battery,Backup Lithium Ion Battery Wolong Electric Group Zhejiang Dengta Power Source Co.,Ltd , https://www.wldtbattery.com
June 17, 2021