An interdisciplinary research team from the Faculty of Engineering and the Faculty of Medicine at CUHK has achieved a major breakthrough by developing a new AI-powered surgical robotics technology. In a world-first, the team successfully completed live animal testing to validate the automation of multifunctional surgical procedures.

The CUHK Faculty of Engineering and University Library are co-organizing an exciting AI exhibition, showcasing the university’s commitment to advancing AI technology in various aspects of life. This exhibition is a testament to CUHK’s commitment to advancing AI technology in various aspects of life and will pay tribute to the late CUHK Professor Tang Xiao’ou, a great innovator in AI.

Showcase innovative medical device research from university technology transfer centers, hospital departments such as science and education, information technology, and translational medicine. Promote the engineering of innovative projects and facilitate industry collaboration.

CU Medicine has recently completed two studies on AI-assisted endoscopic technology, proving it has the potential to enhance performance in the diagnosis and treatment of gastrointestinal (GI) cancer.

Sun Dong, as the Secretary for Innovation, Technology and Industry, returned to his alma mater CUHK for a visit. He is given a demonstration of a mock simulation training system for robotic surgery at the CUHK T Stone Robotics Institute.

HKTDC International ICT Expo 2022, a leading event for cutting-edge smart city solutions and ICT technologies in four areas: Digital Business, Smart Living, Transportation and Mobility, and Governance and Infrastructure, was held on 13-16 October at Hong Kong Convention and Exhibition Centre (HKCEC).

Three scientific research projects conducted by researchers from The Chinese University of Hong Kong (CUHK) have received Higher Education Outstanding Scientific Research Output Awards (Science and Technology) 2022 from the Ministry of Education (MOE), including a first-class and two second-class awards in natural sciences.

The Chinese University of Hong Kong (CUHK)’s engineering team has recently built an artificial intelligence (AI) navigation system that can make millions of microrobots behave like a bee swarm, autonomously reconfiguring their motion and distribution according to environmental changes, such as going around obstacles inside a human body.

A research team led by Professor Pheng Ann Heng from CUHK has received over HK$50 million to establish a world-leading Institute of Medical Intelligence and XR, aiming to advance AI and XR for next-generation precision healthcare.

An engineering team working on AI for surgical robotics at The Chinese University of Hong Kong (CUHK) T Stone Robotics Institute has recently won the Best Paper Award in Medical Robotics at the IEEE International Conference on Robotics and Automation 2021 (ICRA 2021).

Radiological imaging complements clinical testing in COVID-19 diagnosis and helps assess disease severity and progression. The team in close collaboration with engineering and clinical experts has developed an accurate AI system for automated detection of COVID-19 lesions from CT images, which can provide immediately available results, alleviating the burden of clinicians in interpreting images.

Women in Computer Vision is a series of interviews conducted by our Marketing Manager Ralph Anzarouth and published on RSIP Vision publications: every month on Computer Vision News and every day on the daily magazines that we produce for the main conferences in our profession: CVPR, ECCV, ICCV, MICCAI, and WACV.

In collaboration with the Chinese University of Hong Kong, the center, based in the provincial capital city, Guangzhou, said it has realized automated tumor target contouring on magnetic resonance imaging (MRI) pictures of carcinoma patients thanks to AI technology. Thus, the efficiency and accuracy of radiation therapy on the tumor can be greatly enhanced.

With medical images playing an increasingly critical role in diagnoses, the workload of those responsible for the interpretation of the images will only get heavier. To relieve their workload and to enhance diagnostic accuracy, the research team led by Prof. Heng Pheng-Ann has developed an artificial intelligence (AI) platform for automated medical image analysis.