Centre for Artificial Intelligence and Robotics, H K Institute of Science & Innovation, Chin

Developed by CAIR, the CARES Copilot system is a sophisticated model customized for the medical sector. The system integrates intelligently with medical devices and is reliable and interpretable. CARES Copilot 1.0 excels in comprehending multimodal surgical data, such as images, text, voice, video, MRI, CT scans, and ultrasound. The system has made remarkable advancements in understanding and processing diverse medical scenarios and tasks, effectively supporting functions like surgical phase identification, segmentation of instruments and anatomical structures, instrument detection and counting, and generation of MRI high-resolution images.  Equipped with a 100K context window for efficient understanding and analysis, CARES Copilot 1.0 can handle complex surgical materials exceeding 3000 pages, providing significant practical value for the training and education of young medical professionals. Furthermore, the system can quickly and accurately retrieve information from surgical teaching materials, expert guidelines, medical literature, and other professional documents, thanks to its deep retrieval functions, ensuring highly credible and traceable responses. Tests demonstrate that the system can retrieve information from datasets of over a million records within few seconds, with an accuracy rate of up to 95%.  Emphasizing practicality and accessibility, the CARES Copilot system has undergone internal testing and continuous optimization across various departments in multiple hospitals, proving its value as a comprehensive, powerful, and reliable AI surgery assistant. The launch of the CARES Copilot 1.0, a multimodality model for surgery, will drive the efficient implementation of smart medical care and provide a strong impetus for the further advancement of intelligent healthcare. 

CARES Copilot 1.0

XLV DIAGNOSTICS INC.

 General:  large field flat panel detector, integrated digital acquisition system with flat panel monitor within stand, small footprint for van installation
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 Generator:  high frequency, 3 kW, 20-30 kV, 0-500 mAs, up to 100 mA
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 X-ray tube:  Mo, focal spot 0.1 mm and 0.3 mm, rotating anode, 40 kHU /min
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 Gantry:  rotation +180 to -165 degree, floor to detector distance 65 cm-150 cm, source-detector distance 66 cm, magnification 1.5, compression 200 N
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 Exposure Control:  manual and automatic
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 Filter:  Mo&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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 Flat Panel Detector:  25cm x 30 cm, pixel size 42 &micro;m, DQE at 0 lp/mm 60%
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 Digital Acquisition System:  storage 8,000 images, preview image &lt;20 sec, zoom, roam, invert, multi-format, thickness equalization, image annotation
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 Connectivity:  auto send, auto print, DICOM SEND, Query, work list, storage, print
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 Image Display:  2 MB LCD B&amp;W monitor on stand
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Low Cost Digital Mammography Machine

Hanrun Electronics Co., Ltd.

   LED panel for LED X-ray lighting box.   Input: 90~264V AC, 50/60Hz.   Output: 18V/2200mA CC/CV mode.   Brightness: 3800~4000mcd.   Color temperature: 7000~9000K.   Size: 470 x 360 x 3.5mm.   560pcs LEDs/panel.   With CEM-1 PCB.   LED panel for LED X-ray lighting box.   LED panel use with HanRun good quality LED driver model number HR805502A.   Warranty: 2 years.   We occupy more than 30% of Chinese market.  

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