Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
A global leader in medical technology supports 1.33 billion diagnostic procedures annually across nearly 300,000 ultrasound installations worldwide.
Traditional FPGA-based hardware architectures could not handle the complex parallel processing needed for advanced 3D imaging. This rigid...
“By migrating our beamforming pipeline to NVIDIA RTX professional GPUs, we’ve turned years of R&D into months…CUDA lets our engineers iterate at the digital speed and easily integrate advanced algorithms, delivering real-time, photorealistic 3D cardiac images that help clinicians diagnose faster, treat sooner, and improve outcomes for every patient.”
Health technology systems for diagnostic imaging and clinical informatics.
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
Slow algorithms kept patients in tight scanners. AI-accelerated reconstruction cut processing time 95%, maximizing patient throughput.
Memory limits forced 2mm scans that obscured tumors. AI now renders sharp 1mm images in 5 minutes for precise targeting.
Prenatal exams miss 66% of heart defects. Using a pre-trained vision model accelerated R&D to secure FDA clearance in 2 years.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Proprietary APIs offered zero control. Moving to managed open models secured 2-second answers and fixed pricing for news search.