AI-Based Teleradiology Platform – Healthcare Industry
Developed an AI-based Teleradiology software for preliminary reporting that automatically analyzes medical images and generates AI-assisted preliminary reports, fully integrated with DICOM/PACS platforms.
Client: Leading Healthcare Network
60%
TAT Reduction
Faster turnaround time
+40%
Productivity
Radiologist efficiency
95%
Accuracy
Detection consistency
DICOM
Integration
Full compliance
The Challenge
What problems did they face?
The healthcare network faced a growing imaging workload with limited availability of radiologists. Delays in preliminary reporting were common, especially during peak hours and night shifts. Manual reporting was increasing fatigue and variability among radiologists. The organization needed seamless integration with existing hospital imaging systems (PACS/DICOM) while maintaining high clinical standards.
Our Solution
How we addressed it
We developed an AI-based Teleradiology software for preliminary reporting. The system automatically analyzes medical images (CT, MRI, X-ray) using deep learning and computer vision, generating AI-assisted preliminary reports. The solution was designed to assist radiologists, not replace them, and is fully integrated with DICOM/PACS platforms. Natural Language Generation (NLG) converts AI findings into structured preliminary reports.
Technical Implementation
How We Built It
Key Technologies Used
Deep Learning & Computer Vision – CNN-based models for medical image analysis (CT, MRI, X-ray)
AI-Driven Findings Detection – Automated identification of abnormalities and patterns
Natural Language Generation (NLG) – Converts AI findings into structured preliminary reports
Time-Series & Workflow Analytics – Study prioritization and workload optimization
System Architecture
Cloud-ready and on-premise deployment options
DICOM-compliant integration with PACS
Integration with RIS and Hospital Information Systems (HIS)
Secure data handling aligned with healthcare standards
Modular AI pipelines for different modalities
Functional Capabilities
Automatic ingestion of DICOM studies
AI-based detection and classification of radiological findings
Generation of preliminary diagnostic reports
Study triaging and prioritization for radiologists
Interactive viewer with AI overlays and annotations
Key Differentiators
AI-generated preliminary reports, not just detection
Deep integration with DICOM workflows
Radiologist-in-the-loop design
Enterprise-ready, scalable healthcare solution
DICOM and HL7 compliant with secure data encryption
The Results
Measurable Impact
Faster preliminary reports for clinicians
Improved radiologist productivity and reduced cognitive load
Better utilization of radiology resources across locations
Enhanced patient care through quicker clinical decisions
Early flagging of critical cases for priority review
Continuous learning from radiologist feedback
Scalable across multiple hospitals and imaging centers
"The AI-assisted preliminary reporting has transformed our radiology workflow. Radiologists can now focus on complex cases while the AI handles initial screening, significantly improving our turnaround time and patient care quality."
Chief Radiologist
Leading Healthcare Network
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