Walking into the newly completed Imaging Department of Changying Campus of Beijing Chaoyang Hospital, China, a spacious and bright public space comes into view. Visitors waiting in line for "filming" mostly gather around the door of the department, looking at their watches or looking into the department from time to time.
The doctor's workroom is in the corner on the other side. Pushing open the door, the young doctor on duty is "reading films" at the table - there are two monitors in front of him, one is placed horizontally, with built-in AI imaging diagnosis results; the other is placed vertically, and the interface is the electronic image of the visitor's lungs.
The Imaging Department receives thousands of patients a day, and it takes at least 5 to 10 minutes to write a report manually. Now with AI-assisted film reading, the film is automatically typed and the structured report is generated with one click, which can be completed in tens of seconds, greatly saving time. The doctor on duty told reporters that this AI imaging diagnosis system can quickly screen lesions and give diagnostic suggestions. Doctors only need to make a slight inspection and adjustment based on the AI diagnosis to complete the diagnostic report.
Whether at home or abroad, the medical industry has a serious shortage of production capacity. There is a great demand for medical resources, but high-quality resources are scarce and unevenly distributed, especially at the grassroots level, where many patients cannot get good treatment.
The technical characteristics of AI are highly matched with the needs of the medical industry. Unlike the Internet, which solves the problem of how to allocate excess production capacity, the great value of artificial intelligence is that it can homogenize resources through technical replication when resources are severely insufficient.
Through artificial intelligence technology, the scarce and high-quality medical resources locked in large hospitals in the past are released, and the best medical service capabilities are brought to the doorsteps of ordinary people, using technology to create value for society and people's livelihood.
What is being built now is a regional artificial intelligence platform. In a region or a county, an AI platform is established. After all grassroots medical institutions are connected to this platform, it is equivalent to obtaining the medical service level and capabilities of top tertiary hospitals. In this way, ordinary people can enjoy high-level medical services in all grassroots hospitals in the entire region.
In view of the lack of network and power resources in remote areas, a lower-energy-consuming artificial intelligence system has been developed with mobile imaging diagnostic equipment to achieve medical screening in the most grassroots environment.
For example, combining AI with portable battery-powered X-ray machines allows medical staff to easily pack the equipment in a suitcase and take it to remote areas, using AI to assist in disease screening and contribute to improving local tuberculosis screening.
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