Google AI in Health Engagement
GPTKB entity
Statements (68)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:health_services
|
| gptkbp:addresses |
health disparities
|
| gptkbp:aims_to |
gptkb:medical_research
AI technologies healthcare systems |
| gptkbp:aims_to_improve |
data sharing
patient outcomes preventive care public health initiatives remote patient monitoring healthcare delivery healthcare costs health outcomes healthcare quality healthcare efficiency |
| gptkbp:analyzes |
clinical data
patient data medical data |
| gptkbp:collaborates_with |
government agencies
healthcare providers research institutions technology partners |
| gptkbp:conducts |
clinical trials
|
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:develops |
AI algorithms
predictive models health apps AI-driven diagnostics AI-based solutions health monitoring devices AI health tools healthcare platforms |
| gptkbp:enhances |
patient safety
patient-provider communication telehealth services diagnostic accuracy healthcare workflows healthcare accessibility patient experience health data security |
| gptkbp:focuses_on |
healthcare solutions
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google AI in Health Engagement
|
| gptkbp:improves |
patient engagement
treatment plans |
| gptkbp:integrates_with |
electronic health records
|
| gptkbp:provides |
data analytics tools
virtual health assistants data-driven insights personalized health recommendations real-time health monitoring AI insights healthcare insights health analytics solutions |
| gptkbp:supports |
gptkb:healthcare_professionals
patient education chronic disease management mental health services health research clinical decision making healthcare innovation |
| gptkbp:utilizes |
gptkb:machine_learning
big data computer vision data visualization natural language processing predictive analytics |
| gptkbp:bfsParent |
gptkb:Google
|
| gptkbp:bfsLayer |
4
|