AI assisted diagnosis

AI assisted diagnosis refers to the process of using artificial intelligence technology to assist doctors in diagnosis. By analyzing and processing a large amount of medical data, including medical records, images, laboratory results, etc., AI assisted diagnosis can provide more accurate and rapid diagnostic results, helping doctors formulate treatment plans and predict disease development trends.

The unit is designed for unsupervised public use: controls are recessed or shielded, moving parts are enclosed, and the interface is operable by a child of about six with no instruction. Where a screen is used, the language can be switched without changing the hardware, and the content can be replaced on site.

Computer aided diagnosis (CAD) refers to the use of imaging, medical image processing techniques, and other possible physiological and biochemical methods, combined with computer analysis and calculation, to assist in the discovery of lesions and improve diagnostic accuracy. The implementation of computer-aided diagnosis technology relies on data transmission and sharing through communication technology. By constructing a complete medical database and ensuring timely communication of diagnostic information data, comparative analysis of data can be conducted to improve diagnostic efficiency and quality.