Empowering medical care | Application of intelligent AI computer system KMDA-5921 in lung navigation robot

Empowering medical care | Application of intelligent AI computer system KMDA-5921 in lung navigation robot

With the rapid development of artificial intelligence, technological breakthroughs, and the expanding scope of applications, medical robots represent the deepening application of AI in the medical field. These robots can effectively assist doctors in performing a range of medical diagnoses and auxiliary treatments, thereby alleviating the strain on medical resources and promoting the development of medical informatization.

 

Smart medical scene application

From the perspective of application scenarios, areas such as neurosurgery, orthopedic surgery, and laparoscopic surgery, which require precise operations, have a significant demand for surgical robots. Surgical robots play a crucial role in clinical and surgical operations. These innovative medical devices are developed based on advancements in minimally invasive surgery and computer technology. Controlled by computer systems and equipped with robotic arms, positioning and navigation systems, and video systems, they assist doctors in performing surgeries more accurately through enhanced vision and tactile feedback, reducing the risk of manual operation errors, and improving surgical precision and safety.

The global lung cancer mortality rate far exceeds that of other types of cancer, ranking first in the number of cancer deaths. Bronchoscopy is an efficient method for diagnosing lung cancer. It can not only directly observe the lesion but also collect cells and small tissue specimens from the lesion for cytological and pathological examinations. The advanced bronchial flexible surgical robot system extends the doctor's "eyes," "brain," and "hands" to provide patients with more accurate and safer surgical operations. A Chinese natural cavity flexible surgical robot company is seeking a high-performance AI computer system for its bronchial navigation robot with the following requirements:

  • Strong expansion capability, assists in real-time image AI processing, supports PCIe expansion, and the expansion of GPU cards and image acquisition cards;
  • Multiple independent network ports and serial ports for connecting peripheral devices and expansion, and supports three independent displays;
  • The whole machine is vibration-resistant and shock-resistant, with a wide temperature design, and is used in medical applications that require a long product life cycle.

 

JHC scenario solution

To achieve high-precision positioning and efficient image processing of bronchial navigation robots, the robot control system platform must meet technical requirements such as powerful data processing capabilities, flexible scalability, and high stability. JHCTECH's embedded AI computer system KMDA-5921-S002 can meet these application requirements.

KMDA-5921-S002 uses an Intel Core multi-core high-performance CPU based on the X86 architecture, which can perfectly meet the data calculation requirements of bronchial navigation robots. It has four PCIe expansion slots for accessing video capture cards and GPU cards. In this project, RTX 3060 GPU cards are used to analyze and process image data through the GPU. It has 3 independent network ports and 4 serial ports for connecting peripheral devices and expansion; 1*VGA, 2*DP three independent displays, achieving the integration of visual and electromagnetic positioning precision auxiliary diagnosis and treatment during the inspection process, assisting doctors in more accurate lung biopsy and treatment. It adopts a wide voltage DC 9-36V power supply, with short circuit, overvoltage, and overcurrent protection, vibration and shock resistance, stable power supply, and is not prone to downtime; wide temperature design, capable of operating normally at a storage temperature of -40°C to 85°C. Since its launch, the product has been widely used in smart transportation, industrial automation, and other industries and has been widely praised for its ultra-long service life.

 

Learn more about KMDA-5921-S002 series 

 2024-07-19
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