Philips Healthcare
Medical imaging
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
- 70% improvement in 3D imaging volume rates
- Algorithm development cut from years to months
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Recent case studies from
Clinicians spent hours manually tracing anatomy. AI now automates segmentation, cutting planning time by 47% to scale care.
Nurses manually reviewed charts for risk. AI now automates stratification, launching a diagnostic tool in 12 months vs years.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Tests took 6 weeks and destroyed tissue. AI now analyzes digital slides in 2 days, preserving samples for future care.
Limited access to advanced imaging delayed stroke care. Now, AI analyzes standard CT scans, alerting doctors to expedite transfers.