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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Surging imaging volumes created severe cognitive burden. Now, AI summarizes prior reports and drafts impressions directly in the workflow.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Manual follow-ups delayed hiring while uninformed hires drove 80% turnover. Now, an AI agent screens, educates, and auto-schedules.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
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.
Related implementations across industries and use cases
Surging imaging volumes created severe cognitive burden. Now, AI summarizes prior reports and drafts impressions directly in the workflow.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Manual follow-ups delayed hiring while uninformed hires drove 80% turnover. Now, an AI agent screens, educates, and auto-schedules.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.