AI Medical Imaging Analysis
Millisecond-level lesion detection to support radiologists in precision diagnosis
Our AI imaging engine is trained on over 2 million medical images annotated by certified radiologists, covering X-ray, CT, and MRI modalities. The system completes preliminary screening in milliseconds, freeing physicians to focus on complex cases requiring clinical judgment.
Clinical Validation
97.3%
Chest X-ray Sensitivity
<200ms
Per-image Analysis Time
15+
Lesion Types Covered
FDA 510(k)
Regulatory Compliance
Core Capabilities
Chest X-ray Screening
Automatically identifies 15+ anomalies including pulmonary nodules, pleural effusion, and pneumothorax
CT Image Analysis
Whole-body CT segmentation and lesion volume quantification for longitudinal tracking
Brain MRI Examination
Automated annotation of white matter lesions and microbleeds to assist neurological diagnosis
Seamless PACS Integration
Direct connectivity with hospital HIS/PACS via HL7 FHIR / DICOM standard protocols
Workflow
01
Image Upload
Hospital PACS auto-push or manual DICOM file upload
02
AI Analysis
Multi-model inference outputs annotated results and confidence scores in seconds
03
Report Generation
Automatically generates structured pre-reports in English and Thai
04
Physician Review
Radiologist reviews and signs off on the AI output at their workstation