A research team from The Hong Kong University of Science and Technology (HKUST) has developed an innovative medical imaging technology that uses artificial intelligence algorithms to reconstruct precise 3D skeletal models from only 2-4 X-ray images, reducing patient radiation exposure by 99%. This breakthrough research is expected to transform the clinical application of traditional CT scans.

Led by Professor Li Xiaomeng from the Department of Electronic and Computer Engineering, the team leveraged AI technology to significantly reduce the radiation dose required to generate 3D anatomical images. Professor Li stated: "Our technology can complete imaging in 1 minute with an accuracy of 97%, while traditional CT scans require 400-500 images." The technology has been collaborated with Kenergy 3D Technology Company for applications in preoperative planning and personalized implant design.

Edmond Yau, CEO of Kenergy 3D, noted: "This technology shortens implant design time from several days to 30 seconds and reduces costs by 50-70%." Orthopedic specialist Dr. Xie Longfeng commented: "For patient groups requiring frequent examinations, this technology is revolutionary."

The research team is currently collaborating with public hospitals to validate the technology, with potential future expansion to cardiac and pulmonary imaging. Professor Li added: "Our goal is to further improve imaging accuracy and apply it to real-time surgical navigation."