Memory limits forced 2mm scans that obscured tumors. AI now renders sharp 1mm images in 5 minutes for precise targeting.
An internationally acclaimed research center and cancer clinic relies on daily cone-beam computed tomography scans to adapt radiation therapy plans to patients' changing anatomy.
Reconstructing 3D volumes at clinically relevant 1mm resolution is memory-intensive, with a single volume occupying 1GB of memory. Previous hardware...
“With AI models and hardware from two or three years ago, we’d have to down-step the resolution to free up memory for training. Now, with the power of current GPUs, we can develop end-to-end systems that reconstruct high-resolution volumes directly from the projection data.”
Cancer research center and specialized oncology clinic.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
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Processing 10,000 historical scans took 8 months. AI now analyzes the volume in a day, flagging long-term health risks instantly.
Radiologists lost hours to manual reporting. AI now drafts complex diagnostic notes, ensuring consistent care 24/7.
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Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.