Radiology

AI-powered medical imaging and diagnostic radiology

Radiology

AI-Powered Radiology Intelligence

Transform medical imaging with advanced AI algorithms for automated diagnosis, intelligent prioritization, comprehensive image analysis, and seamless workflow integration across all modalities.

99.1%
Diagnostic Accuracy
67%
Faster Reporting
95%
Critical Finding Detection
24/7
Automated Analysis

Advanced Image Analysis

  • Multi-modal AI Detection: Comprehensive analysis across CT, MRI, X-ray, ultrasound, and mammography with organ-specific optimization algorithms
  • Pathology Recognition: Automated detection of fractures, tumors, pneumonia, stroke, and other critical conditions with precise localization
  • Quantitative Measurements: Automated volumetric analysis, tumor sizing, vessel assessment, and progression monitoring with standardized reporting
  • Quality Assurance: Real-time image quality assessment with artifact detection, protocol optimization, and scan adequacy evaluation

Workflow Optimization

  • Intelligent Triage: AI-powered exam prioritization based on clinical urgency, critical findings, and radiologist availability for optimized workflow
  • Automated Reporting: Structured report generation with standardized templates, measurement integration, and clinical decision support
  • Critical Alert System: Real-time notifications for urgent findings with automated communication to referring physicians and care teams
  • PACS Integration: Seamless integration with existing radiology systems and EHR platforms for comprehensive workflow enhancement

Advanced Imaging Modality Support

Cross-sectional Imaging

Advanced CT and MRI analysis with 3D reconstruction, perfusion analysis, and multi-planar reformation for comprehensive diagnostic evaluation

Interventional Guidance

Real-time procedural support with needle trajectory planning, anatomy recognition, and safety zone identification for precise interventions

Emergency Imaging

Rapid triage and analysis of emergency cases with automated detection of life-threatening conditions and immediate alert generation

Radiology Clinical Applications

Thoracic Imaging

  • • Pulmonary nodule detection and characterization
  • • Pneumonia and consolidation analysis
  • • Pulmonary embolism detection (CTPA)
  • • Lung cancer screening and staging
  • • Chest X-ray abnormality detection
  • • Pleural effusion and pneumothorax identification

Neuroimaging

  • • Acute stroke detection and ASPECTS scoring
  • • Intracranial hemorrhage identification
  • • Brain tumor detection and characterization
  • • Multiple sclerosis lesion analysis
  • • Traumatic brain injury assessment
  • • Dementia and neurodegenerative changes

Abdominal Imaging

  • • Liver lesion detection and characterization
  • • Kidney stone identification and measurement
  • • Pancreatic pathology analysis
  • • Bowel obstruction and inflammatory changes
  • • Abdominal aortic aneurysm monitoring
  • • Appendicitis and acute abdomen evaluation

Musculoskeletal

  • • Fracture detection and classification
  • • Joint space analysis and arthritis assessment
  • • Bone tumor and metastasis detection
  • • Soft tissue injury evaluation
  • • Spine pathology and alignment analysis
  • • Osteoporosis and bone density assessment

AI-Enhanced Radiology Workflow

1

Image Acquisition

Automated protocol optimization with real-time quality assessment and scan parameter adjustment for optimal diagnostic imaging

2

AI Analysis

Comprehensive image analysis with pattern recognition, abnormality detection, and quantitative measurements across all modalities

3

Intelligent Triage

Smart prioritization based on findings severity, clinical context, and urgency with automated critical result notifications

4

Enhanced Reporting

AI-assisted structured reporting with standardized terminology, measurements integration, and clinical correlation suggestions

Radiology Case Study

Emergency Department Case

Case: 45-year-old male with severe headache, non-contrast head CT

Initial Concern: Possible intracranial hemorrhage

Challenge: Subtle findings requiring immediate attention

Time Pressure: Late night presentation, limited radiologist availability

SynThera AI Analysis

Immediate Detection: Small subarachnoid hemorrhage identified within 30 seconds

Critical Alert: Automatic notification sent to emergency team

Quantification: Hemorrhage volume and distribution mapped precisely

Follow-up Guidance: CTA recommendations provided automatically

Outcome: AI detection enabled immediate neurosurgical consultation and intervention within the critical time window, preventing devastating complications.

Clinical Validation & Research

Clinical Studies

  • • 5,000,000+ medical image validation dataset
  • • Multi-center radiology performance studies
  • • FDA approved AI diagnostic algorithms
  • • Published in Radiology and NEJM

Performance Metrics

  • • 99.1% diagnostic accuracy for emergency cases
  • • 67% reduction in report turnaround time
  • • 95% sensitivity for critical finding detection
  • • 92% reduction in missed diagnoses

Revolutionize Your Radiology Department

Transform medical imaging with SynThera's AI-powered radiology intelligence. Enhance diagnostic accuracy, accelerate workflow, and improve patient outcomes with advanced image analysis.