The development of medical AI continues to accelerate, and it is on the vast land of Chinese medical data.
In 2018, HC3i officially launched the "Medical AI Acceleration" column. This column aims to record the development of the medical AI market from the perspective of industry media, and the convergence model leads development.
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)
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