The development of medical AI continues to accelerate, and it is on the vast land of Chinese medical data. According to statistics, more than 90% of medical data currently come from medical imaging, and medical imaging data has become one of the "evidences" necessary for doctors to diagnose. If you can use AI to help doctors make accurate diagnosis, it is the direction of many current imaging AI explorers, which is very helpful for improving the accuracy of disease diagnosis and treatment. Therefore, it has won the majority of clinicians and researchers. attention. The theme of this issue, “When Artificial Intelligence Meets Medical Imaging,†locks in the exploration and development of Chinese image AI. 1. Philips Intelligent Oncology Intervention The OncoSuite is the industry's first comprehensive tumor intervention program, providing a one-stop solution for tumor embolization and percutaneous ablation, which can optimize the display of tumor lesions, guide catheter placement, treatment and efficacy evaluation, etc. Tumor treatment is more thorough, and small tumor lesions <1cm and their blood supply vessels are more easily detected, and healthy tissue similar to tumors can be avoided. 2. Ali Health The “Doctor You†AI system developed by Ali Health and Wanliyun includes the clinical medical research diagnosis platform, the medical auxiliary detection engine, and the physician ability training system. "Doctor You" CT lung nodule intelligent detection engine is jointly created by Ali Health's algorithm engine team and Alibaba's iDST visual computing team. It combines medical knowledge and artificial intelligence technology to automatically identify and mark suspicious nodules and improve doctors. Work efficiency, reduce the rate of misdiagnosis and missed diagnosis. 3. Tencent Pictures Tencent's Vision Artificial Intelligence medical image aggregates medical experts, artificial intelligence and product support teams, and integrates leading technologies such as image recognition and deep learning with medical cross-border to assist doctors in early screening of cancer. At present, Tencent's AI auxiliary diagnosis ability mainly includes diagnosis and treatment risk monitoring system and medical record intelligent management system: the diagnosis and treatment risk monitoring system is designed to help reduce the risk of doctors' diagnosis and treatment; the structured output of medical records can accurately extract the characteristics of medical records and output structured medical records. Let doctors get rid of the cumbersome surface work of medical records, effectively improve the efficiency of diagnosis and treatment and scientific research. 4. Heiner Medical Letter Heiner Medical Aortic Dissection Image Segmentation and Full Quantitative Analysis System Based on artificial intelligence vascular image segmentation algorithm and automated quantitative modeling algorithm, clinicians can establish a dangerous aortic dissection in 5 minutes. Accurate total aortic vascular quantitative model greatly improves the efficiency and quality of diagnosis and interventional treatment of aortic dissection. 5. Push technology Imagine that scientific and intelligent CT-assisted screening products, while improving the efficiency of lung cancer screening, show superior sensitivity to early lung cancer signs such as semi-solid and ground glass nodules, and can help radiologists improve the accuracy of diagnosis. A technical breakthrough in early diagnosis and early treatment of lung cancer. Its intelligent X-ray assisted screening product can judge more than 20 different lesions in the heart chest position, which can help the medical examiner to quickly screen out the images of the lesions, and quickly identify the lesion location during the diagnosis of outpatients. . (B round: 150 million yuan) 6. Yasen Technology Yasen uses a unique patent mathematical model to jointly carry out scientific research cooperation projects on quantitative analysis of brain, heart, lung, thyroid and other organs with a number of key hospitals in China, develop and verify bio-mathematical analysis methods for specific diseases, and continuously establish Chinese people. Normal person group database. Yasen Technology's products are based on the research and development of SPM (Statistical Parametric Mapping) theory. SPM theory is mainly applied to the quantitative analysis of brain imaging. Yasen Technology extends the application of this theory to the lungs and thyroid. (A+ round: 10 million) 7. Huihui Huiying Huiyi Huiying uses artificial intelligence to create a smart image cloud platform, which aims to improve the doctor's diagnosis rate and accuracy and solve the problem of mismatch between doctors and patients in some areas. The automatic diagnostic accuracy of pneumothorax, tuberculosis, and mass in chest X-ray has reached 95%. The automatic recognition rate of brain nuclear magnetic tumors exceeds 85%. The recognition rate of pulmonary nodules in chest CT is more than 85%. (B round: several hundred million yuan) 8. Tuma deep Tuma Deep Dimensional "Lung Nodule Detection and Analysis System" is based on deep learning technology, which can analyze chest CT scan images, and then help doctors to check and mark the patient's pulmonary nodules. In addition, it can also be performed. Good and evil judgments and automatically generate structured reports. Compared with traditional manual screening, this analysis system has great advantages in intelligence and efficiency. With deep learning analysis system, the machine can automatically detect nodules, calculate various related parameters, and automatically generate monitoring reports. The doctor diagnoses the reference. (B round: 200 million yuan) 9. Diyinga The Diinga team specializes in artificial intelligence-based big data analysis solutions for precision medicine, such as cancer diagnosis and grading based on pathological image analysis. Its main products include artificial intelligence-assisted diagnosis system and digital pathology remote consultation system. It can process and analyze full-field scanned digital pathological images with data size over 1G in 5-10 seconds on a common computer. The accuracy of benign and malignant discrimination is as high as 98% or more. Models and algorithms developed by the Diyinga team can accurately, quickly and intelligently analyze various medical images, calculate key indicator parameters, generate fully automated data analysis and reporting, and provide pathologists with breast cancer, stomach cancer, and prostate cancer. An intelligent diagnostic system for seven cancers. (Angel Wheel: 15 million yuan) 10. Lianxin Medical The Lianxin Medical Tumor Teletherapy Platform can be seamlessly connected to a variety of commercial linear accelerators to provide cancer patients with more accurate, automated, and faster personalized clinical radiotherapy solutions to improve the cure rate of cancer by radiotherapy. Reduce the damage of radiotherapy to normal tissues, ultimately prolong the life of cancer patients, and improve the quality of life of cancer patients. ? The system provides features such as target delineation, data storage and backup, cloud computing and sharing, image deformation registration, workflow management, and remote consultation. (A round: millions of dollars) 11. DeepCare DeepCare draws on the service model of SaaS, and puts the developed intelligent modules of different diseases on the cloud platform. Equipment manufacturers and telemedicine service providers can choose according to their own needs and pay accordingly. However, due to the early stage of data accumulation, DeepCare is willing to pay for the service by providing video images. (Angel Wheel: 6 million yuan) 12. Peptide building block Peptide blocks start from the medical imaging-assisted reading, first select the field of fundus lesion research, and analyze the diagnosis of sugar net disease by analyzing the fundus color. The auxiliary diagnosis of eye diseases such as glaucoma is also continuing. Peptide building blocks are cooperating with Guangzhou Zhongshan Ophthalmology for research and development. This artificial intelligence application can mark the lesion + assisted diagnosis + generate medical records, it will mark the lesion point, tell the doctor what is the probability of suffering from a certain disease, and provide treatment strategies and disease development predictions. The treatment strategy may be a further review, or it may be a direct intervention, such as medication. (Angel Wheel: Millions of dollars) 13. Zhiying Medical The first phase of the diagnostic imaging solution based on radiological imaging and pathological imaging launched by Zhiying Medical includes early lung cancer, tuberculosis, silicosis intelligent diagnosis system, and cardiopulmonary health index analysis management system for general examination; pathological imaging Intelligent diagnostic solution, an automated diagnostic system for tuberculosis based on sputum microscopy has been introduced, using stained pathology images, combined with deep learning artificial neural networks, cluster analysis, multiresolution, fuzzy logic algorithms and boundaries. The cell region image segmentation, image feature extraction under pathological conditions are identified, and multi-level classification processing is used to accurately identify the pathological cell number and level. (A round: currently in the next round of financing) 14. ImageBiopsy Lab Through computer vision technology and deep learning algorithms, ImageBiopsy Labs can help doctors make accurate diagnoses based on radiographic images. Based on NVIDIA GPUs, the company uses more than 150,000 radiographs to train its algorithms so that doctors can get accurate measurements of the knee. The doctor can judge the severity of the patient's osteoarthritis based on the measurement without further diagnosis. (Startup company) Royal Jelly is also called Bee Milk. The fresh royal jelly is slightly ropy milk paste substance; it is the excretive mixture of nutrition gland and maxilla gland of the head of little worker bee. The worker bees use this to feed the 1-3 days` worker bee larva and drone larva, 1-5.5 days` queen bee larva and queen bee in the oviposition period. The royal jelly is the biologic product containing very complicated active elements which contains almost all the nutrition elements required by the growth of the human body. 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