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Henan version of "Xiaotangshan Hospital" introduced Ali AI: the accuracy is 96%!

Shulou Source: shulou.com Published: 2022-06-03 08:58:35 10月02日 Update

Wuhan in Hubei Province has Mount Vulcan and Leishenshan, while Zhengzhou in Henan Province has "Qibo Mountain", all of which are hospitals specially established to respond to the epidemic situation of COVID-19, following the model of Xiaotang Mountain in Beijing.

On February 16, Zhengzhou Qiboshan Hospital officially received COVID-19 patients, one of the highlights is the comprehensive introduction of Ali Yun and Ali AI.

It is understood that the core business system of Zhengzhou Qiboshan Hospital is built on Aliyun, the whole process is designed intelligently, and a number of intelligent facilities such as AI diagnosis of CT images are introduced to improve the efficiency of diagnosis and treatment and reduce the risk of infection among medical staff.

After receiving the demand for the project, Aliyun's team also mobilized strong troops from all over the country overnight to go to Zhengzhou for on-site support. it took only one week to complete a series of work, such as demand confirmation, deployment and installation, joint survey and testing, training and guidance, and so on. it can support the operation of more than 50 sub-business systems, more than 40 types of information equipment and more than 700 sets of hardware facilities in the hospital. To achieve COVID-19 patients from filing, diagnosis and treatment to rehabilitation of the whole process, the whole business scene intelligent collaborative management.

According to reports, the CT image of a COVID-19 patient is about 300, and the doctor's naked eye analysis of the CT image of a case takes about 5-15 minutes, which undoubtedly brings great pressure to the doctor's clinical diagnosis.

Ali Yun and Dharma Hospital Medical AI team jointly developed the "novel coronavirus AI Auxiliary Assistant", which can accurately interpret the CT image of COVID-19 's suspected case within 20 seconds, so as to automatically judge the probability of patient COVID-19, and the recognition accuracy is up to 96%, thus greatly improving the diagnostic efficiency and reducing the pressure on doctors.

In addition, AI can also directly calculate the proportion of the focus, and then quantify the severity of the disease, and greatly improve the efficiency of clinical diagnosis.

In addition to Qiboshan Hospital in Henan Province, the algorithm will also be located in nearly 100 hospitals in Hubei, Guangdong, Anhui and other places.

Medical staff use AI to identify CT images of COVID-19 's case.

Automatic recognition of CT chest X-ray of COVID-19 case by AI

Tags: Hospital pneumonia Ali Imaging Qi Bo Zhengzhou Business Doctor efficiency Intelligence case Henan personnel pressure team patient process system demand Cloud and Apple Docker Huawei Linux macOS MariaDB Microsoft MySQL NVidia OPPO Reno Linux Xiaomi Shulou Technology macOS Docker