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.