The rate of missed diagnosis and misdiagnosis is a chronic illness that all doctors are difficult to self-medicate. Among them, the misdiagnosis caused by medical imaging diagnosis seems to occupy a large part. Medical imaging has long relied on expert visual and empirical judgments, but limited to the processing power of the human brain and the accuracy of the naked eye recognition, this process cannot be highly automated and automated. It is even more difficult to achieve an expert level without a doctor with years of experience.
So, in this era of rapid development of technology and technology, is there a way to help doctors improve diagnostic efficiency and reduce objective risks? Perhaps the addition of the machine is feasible, after all, the fineness of the machine is much higher than that of humans. In the process of medical imaging diagnosis, if the machine is used to assist the doctor, will it "see" the picture, understand the picture, and assist the doctor to make a more accurate diagnosis? In order to find the answers to these questions, it is for the development of the medical industry . Chen Hui, CEO of Beijing Yasen Technology Development Co., Ltd. (hereinafter referred to as: Yasen Technology) led Yasen Technology to embark on a tortuous road of struggle.
Chen Ya, CEO of Beijing Yasen Technology Development Co., Ltd.
Ten years of struggle to keep the heart
Since entering the medical software industry in 2006, the hard work is imaginable for an entrepreneurial team that has been working hard. Chen Hui feels that because Yasen Technology's products are involved in medical diagnosis, a lot of experiments are needed. In the first two to three years, failure was almost commonplace. In the face of these failures, everyone is frustrated. "A person always wants to create something that the predecessors did not create, so it is worth it in this life." Chen Hui said. It is precisely because of the feeling that it can help the health of human beings. Yasen Technology is a decade of persistence.
Innovative technology to make products that can "see" diseases
In some hospital imaging departments, doctors and experts, the examination reports they write to patients, usually provide a perceptual result through visual inspection. This directly leads the clinician to face these reports, and can not accurately determine the condition, which in turn leads to very inconvenient treatment for the doctor and recovery of the patient.
"Only by showing the patient's lesions through accurate data, clinicians can do precise treatment." Chen Hui said that Yasen Technology has two innovative technologies: one is image processing and calculation based on unique mathematical models. Yasen Technology has built dozens of algorithm models, using image equipment to normalize the original image to eliminate data distortion caused by crowd differences. At the same time, the image data is reconstructed through nuclear medical images and automatically adjusted to achieve the fusion of various types of images; the first is to establish China's first nuclear medicine normal group database as a standard. The database is accurately subdivided according to gender, age, ethnicity, medical history and other dimensions, and an analysis model is established for each organ database to achieve rapid data screening and comparison processing.
In the face of medical imaging, Yasen Technology first explores the data matrix behind image imaging, refining and integrating these data information. Then use the reference system, the Chinese normal person group database, to search, compare, and infer, so as to make a judgment of each possible diagnosis result.
It is by changing the previous visual method and using the data algorithm to analyze and compare the results. Yasen Technology's image big data processing platform saved a patient who is about to be pushed to the operating table in March this year. It successfully locates the correct anatomical location of the metastases, corrects errors in the naked eye, and prevents a medical accident from occurring. Chen Hui said that the technology is currently in the three-month external review stage of the People's Hospital, and the results achieved are very good. In addition, in the second quarter of this year, it will be tested outside the Xuanwu Hospital, Anzhen Hospital and several hospitals in Ningbo.
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