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.
Typing handwritten notes bottlenecked patient care. Now, doctors speak freely while AI structures clinical data directly into records.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
High case volumes bottlenecked symptom triage. Now, an AI agent instantly filters routine inquiries, freeing vet staff for urgent care.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
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.
Typing handwritten notes bottlenecked patient care. Now, doctors speak freely while AI structures clinical data directly into records.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
High case volumes bottlenecked symptom triage. Now, an AI agent instantly filters routine inquiries, freeing vet staff for urgent care.
Manual EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.