Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:health_services
|
| gptkbp:designed_for |
gptkb:medical_imaging
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:enables |
personalized medicine
collaborative research |
| gptkbp:facilitates |
deep learning training
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Clara platform
|
| gptkbp:includes |
gptkb:Clara_Imaging_SDK
gptkb:Clara_Train_SDK gptkb:NVIDIA_Clara_Holoscan |
| gptkbp:integrates_with |
gptkb:NVIDIA_DGX_systems
|
| gptkbp:is_available_for |
cloud deployment
on-premises deployment |
| gptkbp:is_available_on |
gptkb:NVIDIA_NGC
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Py_Torch DICOM standards |
| gptkbp:is_integrated_with |
gptkb:NVIDIA_RAPIDS
gptkb:NVIDIA_Omniverse |
| gptkbp:is_optimized_for |
gptkb:NVIDIA_GPUs
|
| gptkbp:is_part_of |
gptkb:NVIDIA_AI_Enterprise
NVIDIA healthcare solutions NVIDIA healthcare AI initiatives NVIDIA AI healthcare ecosystem |
| gptkbp:is_scalable |
large datasets
|
| gptkbp:is_supported_by |
NVIDIA research teams
NVIDIA developer community |
| gptkbp:is_used_by |
healthcare providers
pharmaceutical companies research institutions |
| gptkbp:is_used_for |
clinical trials
workflow automation image classification healthcare analytics image segmentation diagnostic imaging clinical decision support data annotation patient monitoring radiomics patient data analysis |
| gptkbp:is_used_in |
telemedicine
genomics pathology radiology |
| gptkbp:offers |
gptkb:cloud_services
training resources data privacy features |
| gptkbp:provides |
real-time analytics
simulation tools data management tools interoperability standards model optimization tools regulatory compliance tools AI model deployment tools |
| gptkbp:supports |
data visualization
edge computing clinical workflows federated learning AI workflows multi-modal data 3 D imaging |
| gptkbp:utilizes |
GPU acceleration
|
| gptkbp:bfsParent |
gptkb:NVIDIA
|
| gptkbp:bfsLayer |
4
|