Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
application of artificial intelligence
|
| gptkbp:appliesTo |
drug discovery
personalized medicine diagnosis medical imaging electronic health records predictive analytics robotic surgery patient monitoring virtual health assistants |
| gptkbp:challenge |
gptkb:legislation
data privacy interpretability bias in algorithms |
| gptkbp:example |
gptkb:IBM_Watson_Health
gptkb:PathAI gptkb:Aidoc gptkb:Google_DeepMind_Health gptkb:Tempus |
| gptkbp:goal |
increase efficiency
improve patient outcomes reduce costs |
| https://www.w3.org/2000/01/rdf-schema#label |
AI for Healthcare
|
| gptkbp:impact |
early disease detection
reduced human error faster diagnosis improved treatment planning |
| gptkbp:regulates |
gptkb:HIPAA
gptkb:GDPR FDA approval |
| gptkbp:relatedTo |
biomedical engineering
data science telemedicine health informatics |
| gptkbp:technology |
gptkb:machine_learning
computer vision deep learning natural language processing |
| gptkbp:trend |
remote patient monitoring
increasing adoption integration with IoT use of wearable devices |
| gptkbp:usedBy |
hospitals
medical researchers clinics pharmaceutical companies health insurance companies |
| gptkbp:bfsParent |
gptkb:Serena_Yeung
|
| gptkbp:bfsLayer |
6
|