Statements (102)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:health_services
|
gptkbp:aims_to_improve |
diagnostic errors
patient outcomes personalized medicine clinical workflows time to diagnosis |
gptkbp:collaborated_with |
academic institutions
healthcare organizations technology partners |
gptkbp:developed_by |
gptkb:NVIDIA_Corporation
gptkb:NVIDIA research institutions |
gptkbp:enables |
personalized medicine
collaborative research real-time imaging analysis |
gptkbp:enhances |
workflow efficiency
|
gptkbp:exhibited_at |
gptkb:NVIDIA_GTC_events
healthcare technology expos |
gptkbp:facilitates |
AI model training
data sharing among institutions |
gptkbp:focuses_on |
gptkb:medical_imaging
drug discovery genomics AI-powered healthcare solutions |
https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Clara
|
gptkbp:includes |
gptkb:NVIDIA_Clara_Train
gptkb:NVIDIA_Clara_Deploy gptkb:Clara_Imaging Clara Genomics Clara Discovery |
gptkbp:integrates_with |
gptkb:NVIDIA_GPUs
|
gptkbp:is_available_on |
gptkb:NVIDIA_NGC
|
gptkbp:is_compatible_with |
gptkb:cloud_services
various imaging modalities |
gptkbp:is_designed_for |
gptkb:healthcare_professionals
radiologists genomic researchers pathologists |
gptkbp:is_designed_to |
streamline healthcare processes
|
gptkbp:is_documented_in |
research publications
|
gptkbp:is_focused_on |
AI research in healthcare
|
gptkbp:is_integrated_with |
electronic health records
|
gptkbp:is_optimized_for |
NVIDIA hardware
|
gptkbp:is_part_of |
NVIDIA's software suite
AI in healthcare initiatives NVIDIA's AI ecosystem NVIDIA's healthcare strategy NVIDIA's AI healthcare strategy NVIDIA's healthcare initiatives NVIDIA's healthcare solutions portfolio |
gptkbp:is_promoted_by |
NVIDIA conferences
|
gptkbp:is_promoted_through |
tutorials
workshops case studies online courses webinars |
gptkbp:is_recognized_by |
industry awards
|
gptkbp:is_recognized_for |
innovation in healthcare technology
|
gptkbp:is_supported_by |
NVIDIA's software stack
NVIDIA's developer community NVIDIA's cloud infrastructure NVIDIA's research team NVIDIA's AI research team |
gptkbp:is_tested_for |
clinical trials
|
gptkbp:is_used_by |
gptkb:healthcare_professionals
research institutions |
gptkbp:is_used_for |
predictive analytics
image segmentation disease detection |
gptkbp:is_used_in |
clinical research
pathology radiology |
gptkbp:is_utilized_by |
hospitals
clinics biotech companies |
gptkbp:is_utilized_for |
data analysis
image classification image segmentation |
gptkbp:is_utilized_in |
gptkb:medical_research
clinical trials healthcare analytics telemedicine. |
gptkbp:offers |
gptkb:Data
pre-trained models data management tools |
gptkbp:provides |
simulation tools
cloud-based services pre-trained models accelerated computing tools for genomics tools for medical imaging |
gptkbp:provides_access_to |
medical datasets
|
gptkbp:supports |
real-time analytics
collaborative research deep learning frameworks multi-modal data |
gptkbp:utilizes |
gptkb:AI_technology
AI algorithms |
gptkbp:bfsParent |
gptkb:NVIDIA_Corporation
gptkb:CUDA gptkb:NVIDIA |
gptkbp:bfsLayer |
4
|