Radiologist
Artificial intelligence (AI) and big health data can help reveal patterns and insights that image interpreters may not be able to identify with consistent precision in a fast paced environment. Health AI may benefit radiologists and doctors by acting as an assistant to provide data-supported 2nd opinion, while minimizing report output time to patients for swifter analysis.
AI Generated Report in Seconds
Minimize Need for Patient Return Visits
Enhanced Triage Decision Making Process
AI Generated Report in Seconds
Minimize Need for Patient Return Visits
Enhanced Triage Decision Making Process
RIS Integration with Scheduler Function
Off-Hour Screening for Report Discrepancies
Off-Hour Deep Learning on Updated Data
RIS Integration with Scheduler Function
Off-Hour Screening for Report Discrepancies
Off-Hour Deep Learning on Updated Data
Drastic Reduction on Image Reading Time
Auto-Labeling of Suspected Regions
Prevent Overlooks & Medical Disputes
Drastic Reduction on Image Reading Time
Auto-Labeling of Suspected Regions
Prevent Overlooks & Medical Disputes
Medical
Images
Detectable
Symptons
AI Modules on
One Platform
Patient
Data Sets
Aided with big health data and deep-learning mechanics, the 2nd opinion is supported by data.
Minimize the need for return visits for report collection, and reduce time spent in hospital.
AI report generation in seconds means doctors have more time for each patient.
With the global medical staff shortage, AI system helps with speedy training, and reliable 2nd opinion.
Medical Image
Data Warehouse
Data
Enrichment
AI Model
Engineering
AI Driven
Services
Radiologist
Report
Clinician
Report
Radiologist
Report
Clinician
Report
Medical Image
Data Warehouse
Data
Enrichment
AI Model
Engineering
AI Driven
Services
