AI-Assisted Medical Imaging Analysis

Description

A clinical-grade AI system that assists radiologists and clinicians in analysing medical images including X-rays, CT scans, and MRIs. The platform uses deep learning models trained on large annotated datasets to detect abnormalities, measure anatomical structures, and generate preliminary reports. It integrates with existing PACS and RIS systems via DICOM and HL7 standards. The system is designed as a decision-support tool that augments clinical expertise rather than replacing it, with full audit trails for regulatory compliance.

Alterations

• Custom model training for specific imaging modalities or pathologies
• Integration with hospital PACS, RIS, and EHR systems
• DICOM and HL7/FHIR interoperability support
• Custom reporting templates aligned with clinical workflows
• Multi-site deployment with centralised model management
• Regulatory submission support (CE marking, FDA 510(k))
• On-premise deployment for data sovereignty requirements
• Clinical validation study design and support