The Centre for Artificial Intelligence and Robotics (CAIR), under the Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, made a significant leap forward in healthcare innovation by introducing the CARES Copilot 1.0, a state-of-the-art multimodality model, at a special event held at the Hong Kong Science Park. This development marks a pivotal moment in the integration of advanced AI technologies in the medical sector, with the potential to revolutionize how medical professionals approach diagnosis, treatment, and surgery.

Prof Hongbin Liu, Executive Director of CAIR, delivered a keynote address emphasizing the transformative impact of CARES Copilot 1.0 on the medical field. He stated, "Our goal with artificial intelligence technology is to empower doctors, tackle their challenges, and enhance their capabilities, thereby advancing human medicine."

Dr. Chan Tat Ming from The Chinese University of Hong Kong and Prof Ming Feng from Peking Union Medical College Hospital demonstrated the capabilities of CARES Copilot 1.0, highlighting its significance in neurosurgery and its potential to transform medical practices through open AI. They underscored the system's ability to provide real-time support in clinical settings, enhance surgical safety, and push the boundaries of neuroscience.

Prof Jun Kang of Beijing Tongren Hospital commented on the future integration of AI technology with surgical robotics, anticipating a major shift in surgical procedures and the challenges it presents to neurosurgeons.

The CAIR research team also shared insights into the training process of CARES Copilot 1.0, showcasing their deep expertise and the technical challenges overcome in developing this sophisticated model.

CARES Copilot 1.0 is designed to intelligently integrate with medical devices, providing comprehensive support by understanding and processing multimodal surgical data, including images, text, voice, video, and scans. Its advanced capabilities in surgical phase identification, instrument detection, and high-resolution image generation represent a major advancement in medical AI.

With a 100K context window, CARES Copilot 1.0 efficiently analyzes complex surgical materials, aiding in the education of medical professionals. Its deep retrieval functions enable quick, accurate access to a vast database of medical resources, demonstrating an impressive accuracy rate of up to 95%.

The system has undergone extensive testing and optimization across various hospital departments, establishing itself as a reliable AI surgical assistant. The launch of CARES Copilot 1.0 is set to enhance the implementation of smart medical care and contribute significantly to the advancement of intelligent healthcare solutions.

As AI and robotics technology continue to integrate deeply into the medical field, CAIR remains committed to fostering innovation and contributing to global health advancements from its strategic position in the Guangdong-Hong Kong-Macao Greater Bay Area.