Image storage in the cloud for "Cloud Image Viewing"

Images are stored in the cloud, where image processing and analysis are performed. Image viewing operations (such as image scaling, window level adjustment, marking, measurement, etc.) and image auxiliary processing (image contrast, image fusion display, 3D reconstruction, etc.) are carried out. Clinical application functions (such as intelligent image analysis, 3D reconstruction, high-density projection, one-click bone removal, virtual surgery, 3D printing, case teaching, etc.) are also provided, making it easier for doctors to analyze image data, accurately identify lesions, and provide image diagnosis opinions.

Cloud-based image viewing enables second-level processing and analysis of images across all departments, meeting the application needs of rapid retrieval, anytime, anywhere mobile viewing, and filmless imaging on various smart terminal devices. It also provides the foundation for big image data and AI-assisted image viewing.

Using cloud-based image viewing, image processing is performed in the cloud, and the client only needs to perform image decoding and browsing, reducing hardware requirements for the viewing client. The client only needs the processed data, not the complete data, enhancing data security. The cloud only needs to return the image of the screen display area, reducing the amount of data transmitted.

In-hospital image viewing/image review: Cloud-based image assistant, improving image diagnosis efficiency

Imaging doctors use desktop workstations to retrieve patient images, provide image diagnostic reports, or review the image diagnostic results of other doctors, and issue diagnostic reports. Cloud-based auxiliary tools improve the accuracy of image diagnostic reports and meet the requirements of image viewing and review.

Cloud film is the cloud storage of electronic films. By storing patients' electronic films and image diagnostic reports in the cloud, medical institutions provide electronic links or QR code information to patients via SMS, WeChat, etc., allowing patients to view image films and diagnostic reports via Mobile. Doctors can use cloud films for image queries, image archives, image archiving, diagnostic report retrieval, and image analysis. Cloud films can save patients money and time on film printing and collection, making them easy to carry and share; help medical institutions reduce film printing and hardware costs, and improve doctor-patient communication efficiency; provide a foundation for the promotion of the government's "two-way referral, tiered diagnosis and treatment" policy, achieving a win-win situation for doctors, patients, and the government.

Cloud-based image processing can effectively improve diagnostic efficiency and reduce misdiagnosis rates.

Traditional image diagnosis relies entirely on subjective manual analysis. Imaging doctors determine the spatial position, size, aggregate shape, and spatial relationship with surrounding biological tissues of lesions through two-dimensional slice images, making judgments based on personal experience, which is prone to misjudgment, leading to a high average misdiagnosis rate for images.

According to misdiagnosis data from the Chinese Medical Association, the number of misdiagnosed patients in China's clinical medicine each year is approximately 57 million, with a total misdiagnosis rate of 27.8%, an organ ectopia misdiagnosis rate of 60%, and an average misdiagnosis rate of 40% for malignant tumors, such as nasopharyngeal cancer, leukemia, and pancreatic cancer. The average misdiagnosis rate for extrapulmonary tuberculosis, such as liver tuberculosis and gastric tuberculosis, is also over 40%.

Advanced intelligent image analysis applications of cloud-based image processing and big image data can help doctors identify and label lesions, improving diagnostic efficiency and accuracy. According to relevant data, the intelligent recognition rate of chest CT can reach 96%, and that of chest DR can reach 92%.
The widespread application of images requires coverage of various terminal devices.

With the widespread application of medical imaging, imaging applications have moved from traditional storage, transmission, and retrieval to diversified innovative applications. This requires the compatible interaction of various medical data, such as PACS and HIS/CIS systems, covering mobile examination vehicles, imaging workstations, portable machines, desktop cloud terminals, tablet computers, and medical PDAs, posing challenges for cloud service providers and imaging applications.

The development of medical imaging workstations is in line with the current situation of cloud-based image processing. It can quickly query examination results, facilitating image viewing, archive viewing, saving, and archiving, and improving case query, statistics, and management functions. Guangzhou Rencheng Medical has stood out with more than ten years of experience in medical equipment repair, and through cooperation with hospitals, it clearly understands the needs of doctors. The developed imaging workstation can serve hospitals, doctors, and patients well. Now Rencheng Imaging Workstation is recruiting national agents and distributors, and provides 24-hour After-sale Service. Welcome to contact us at any time.

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