
A new AI algorithm can reconstruct 3D images from only 2-4 X-rays, reducing radiation exposure by up to 99%.
Key Details
- 1AI tool generates 3D reconstructions using just 2-4 X-ray images.
- 2Patient radiation exposure reduced by 95-99% compared to standard CT scans.
- 3Algorithm achieves 97% accuracy benchmark versus conventional CT imaging.
- 4Developed by researchers at Hong Kong University of Science and Technology (HKUST).
- 5Already used to assist surgeons in preoperative planning, with future goals including 3D implant creation and enhanced imaging precision.
Why It Matters
Such a drastic reduction in radiation exposure and imaging costs could transform how 3D imaging is used for surgical planning. High-accuracy reconstructions from minimal x-ray data open new possibilities for safer, more accessible radiology workflows.

Source
Health Imaging
Related News

•AuntMinnie
AI Tool Mirai Shows Robust Performance for Interval Breast Cancer Detection
The Mirai AI model significantly improves detection of interval breast cancers in negative screening mammograms.

•Radiology Business
AI Tool Predicts Interval Breast Cancer Risk from Negative Mammograms
AI can predict interval breast cancer risk up to three years after a negative mammogram.

•Radiology Business
AI Outperforms Radiologists in Predicting Lung Cancer Treatment Response
AI tools demonstrate higher accuracy than radiologists in predicting lung cancer treatment response from imaging studies.