Google AI in Health Networks
GPTKB entity
Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:aims_to |
gptkb:medical_research
healthcare systems |
| gptkbp:aims_to_improve |
gptkb:healthcare_professionals
data sharing diagnostic errors patient outcomes personalized medicine healthcare delivery health outcomes healthcare quality healthcare accessibility |
| gptkbp:analyzes |
clinical data
genomic data medical data radiology images |
| gptkbp:collaborates_with |
government agencies
healthcare providers research institutions technology partners |
| gptkbp:contributes_to |
public health research
|
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:develops |
AI algorithms
virtual health assistants healthcare applications AI-based diagnostic tools AI-powered tools AI solutions for healthcare predictive analytics tools |
| gptkbp:enhances |
patient safety
drug discovery diagnostic accuracy surgical procedures telemedicine services patient monitoring healthcare training programs |
| gptkbp:focuses_on |
healthcare solutions
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google AI in Health Networks
|
| gptkbp:improves |
patient engagement
workflow efficiency treatment plans |
| gptkbp:integrates_with |
electronic health records
|
| gptkbp:provides |
evidence-based practices
real-time data analysis data-driven insights AI-driven recommendations healthcare insights clinical trial optimization |
| gptkbp:reduces |
healthcare costs
|
| gptkbp:supports |
patient education
chronic disease management clinical decision making healthcare analytics healthcare innovation remote patient care |
| gptkbp:utilizes |
gptkb:cloud_computing
gptkb:machine_learning computer vision data visualization techniques natural language processing predictive modeling big data analytics |
| gptkbp:bfsParent |
gptkb:Google
|
| gptkbp:bfsLayer |
4
|