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
•Radiology Business
RadNet Study: AI Boosts Breast Cancer Detection in Largest-Ever Real-World Analysis
A massive real-world study by RadNet shows AI-assisted mammography increased breast cancer detection by 21.6%.
•AuntMinnie
Multimodal MRI Radiomics Model Predicts Long-Term Survival in Breast Cancer
A multimodal MRI radiomics and deep learning model outperformed traditional models in predicting 5- and 7-year survival for breast cancer patients receiving neoadjuvant chemotherapy.
•AuntMinnie
AI Predicts 10-Year Mortality and Hip Fracture Risk from DEXA Scans
A self-supervised AI model predicts 10-year mortality and hip fractures using only DEXA scans.