Philips AI in Healthcare

GPTKB entity

Statements (71)
Predicate Object
gptkbp:instance_of gptkb:hospital
gptkbp:aims_to clinical decision-making
clinical trials
data sharing
patient care
diagnostic accuracy
evidence-based practice
healthcare delivery
clinical outcomes
costs
hospital readmissions
healthcare accessibility
clinical workflows
radiology workflows
gptkbp:collaborates_with government agencies
academic institutions
healthcare providers
research institutions
technology partners
gptkbp:develops AI algorithms
automated reporting tools
AI-driven solutions
predictive analytics tools
AI-enhanced workflows
AI-powered imaging solutions
AI solutions for radiology
AI tools for healthcare providers
AI-based imaging technologies
AI-based risk assessment tools
gptkbp:enhances patient safety
patient outcomes
surgical planning
image analysis
diagnostic imaging
patient monitoring
gptkbp:focuses_on gptkb:Photographer
https://www.w3.org/2000/01/rdf-schema#label Philips AI in Healthcare
gptkbp:improves patient engagement
workflow efficiency
gptkbp:integrates_with data analytics
gptkbp:is_optimized_for resource allocation
gptkbp:offers remote patient monitoring
telehealth solutions
AI-based diagnostic tools
AI-assisted diagnostics
gptkbp:provides gptkb:software_framework
real-time data analysis
data-driven insights
personalized treatment plans
evidence-based recommendations
clinical decision support
patient-centric solutions
AI insights
AI-driven patient insights
gptkbp:reduces diagnostic errors
gptkbp:supports gptkb:hospital
chronic disease management
radiologists
population health management
healthcare innovation
data-driven healthcare
gptkbp:utilizes gptkb:software_framework
gptkb:Cloud_Computing_Service
big data
computer vision
data visualization
natural language processing
predictive modeling
advanced analytics
gptkbp:bfsParent gptkb:Philips_Health_Tech
gptkbp:bfsLayer 4