Application of Gifa Motherboard in AI Intelligent Remote Diagnosis and Treatment Information System
The core capabilities of artificial intelligence come from perception, understanding, learning, reasoning, control, and operation. With the help of intelligent algorithms and powerful computing capabilities, the AI intelligent remote diagnosis and treatment information system can alleviate the shortage of medical resources, uneven distribution, limited time and space, ineffective use of high-value and high-level expert experience and lack of intelligent equipment in the current medical system.
The AI intelligent remote diagnosis and treatment information system can realize the buffer and file transmission between the client and the client as well as the buffer and file transmission between the client and the server. It can share the patient's medical records and diagnostic photos in real time and carry out Unified scheduling and management to facilitate clinical research.
The system also adopts a cross-platform audio and video solution, which greatly improves the image compression efficiency. Under the same bandwidth, it can provide users with more realistic, clearer, and smoother images. At the same time, it has good network adaptability to meet the audio and video applications in complex network environments.
◆Support Intel® 6th, 7th, 8th, 9th generation Core™ i7/i5/i3, Pentium®, Celeron® series desktop processors
◆2×DDR4 SO-DIMM memory slots, maximum support 32GB
◆2×VGA, 1×HDMI, support synchronous/asynchronous dual display
◆4×USB3.0, 10×USB2.0, 10×COM, 2×RJ45 LAN, 2×SATA3.0
◆Support PCIE×16 expansion
◆Support functions such as watchdog, wake-up on LAN, diskless boot, power-on and boot
◆Suitable for industries such as medical care, self-service, and all-in-one machines
Gifa can provide comprehensive solutions for artificial intelligence medical applications. Gifa's motherboards and industrial computers are widely used in hospital information systems, ward information systems, remote patient monitoring systems, and bedside monitoring systems.