Resun Technologies: Introducing MediSight AI - Advanced Healthcare Imaging & Documentation Platform
Official Product Release Announcement – March 1, 2025
Resun Technologies has officially launched MediSight AI, a cutting-edge, AI-powered platform designed to revolutionize healthcare workflows. By automating CT scan analysis and clinical document extraction, MediSight AI enhances diagnostic precision and streamlines administrative processes across the healthcare ecosystem.
Announcing the launch, Jonas Cecil, CEO and Co-founder of Resun Technologies, highlighted that MediSight AI was developed in collaboration with leading GenAI innovators and healthcare professionals. The platform empowers healthcare providers with scalable, real-time diagnostics, significantly reducing the workload for radiologists and clinical coders while improving accuracy and efficiency.
Historically, the radiology pipeline was heavily reliant on manual reviews by radiologists and coders, resulting in delays, inconsistent reporting, and increased operational overhead. MediSight AI leverages GPT-4o and Vision Transformer (ViT) models to automatically detect critical findings in CT scans and extract structured data from referrals, discharge summaries, and radiology notes. The platform is capable of processing over 250 scans and documents per hour, boosting throughput and diagnostic accuracy.
Architecture Overview
AI Layer
- Azure AI Vision (Custom ViT Model): Processes CT images to detect anatomical regions and anomalies using fine-tuned Vision Transformers.
- Azure OpenAI (GPT-4o): Extracts primary diagnoses, symptoms, and structured information from OCR-processed medical notes, using prompt engineering and RAG to reduce hallucinations.
- Azure AI Search with RAG (Retrieval-Augmented Generation): Enhances accuracy by grounding GPT responses with clinical terminology and medical code datasets (e.g., ICD-10, SNOMED).
Application Layer
- Ingests new image/document uploads.
- Sends images to Vision model.
- Passes documents through OCR and then to GPT-4o.
- Merges results and stores structured data.
Data Layer
- Blob Storage: Stores raw and annotated CT images, along with scanned PDFs and text files.
- Cosmos DB: Acts as a fast-access cache layer for metadata, AI outputs, and real-time query storage.
- Azure SQL: Stores structured outputs, clinical findings, timestamps, audit logs, and user annotations.
Solution Developed for Healthcare
Segment:
Public Sector / Healthcare
Primary Technical Patterns:
Computer Vision | Knowledge Mining | AI Platform
Generative AI Model Used:
GPT-4o, Vision Transformer (ViT)
AI Services:
Azure OpenAI | Azure AI Vision | Azure AI Search
App Services:
Azure Functions | App Service | Private Link | Virtual Machines
Data Services:
Azure Cosmos DB | Azure SQL | Blob Storage
- 92%+ precision in correlating diagnostic findings across scans and notes.
- Reduced radiologist workload by automating routine classification.
- Enabled real-time triage for critical findings, especially in emergency care settings.
- Scalable foundation for national AI-driven imaging and documentation platform.
Process Flow Diagram
- Image & Document Ingestion.
- Image Analysis via AI Vision.
- Document OCR and Parsing.
- RAG Search and Code Mapping.
- Structured Output Storage.
- Dashboard & Review.
- Audit & Compliance.
Benefits to Healthcare Providers
- Streamlined diagnosis and documentation processes reduce patient turnaround time.
- Fewer errors and omissions in clinical coding lead to more accurate reimbursements.
- Real-time access to AI-driven insights enhances decision-making and care planning.
- Centralized system helps standardize data handling across multiple facilities.
Benefits to Doctors Using MediSight AI
- Drastically reduces administrative workload and time spent on coding.
- Provides high-quality clinical summaries and diagnosis suggestions.
- Allows clinicians to focus on patient care instead of paperwork.
- Seamlessly integrates into existing hospital information systems.
Next Steps
- Schedule a demo with the Resun Technologies team.
- Evaluate your existing imaging and document workflows.
- Identify integration points with MediSight AI.
- Initiate a pilot phase to assess ROI and clinical impact.
Contact Us
Resun Technologies
Healthcare AI Innovation Team
That’s seriously impressive—92%+ precision in connecting diagnostic findings across scans and notes? That kind of accuracy can make a real difference in clinical decision-making. It shows the system is not just smart, but actually useful in real-world settings. Definitely a big step forward for improving patient care. Interested to see more insights on this or maybe a live demo?
MediSight AI sounds like a game-changer for both healthcare providers and doctors. Streamlining diagnosis, reducing admin work, and improving accuracy—this is exactly the kind of innovation the industry needs. The real-time insights and seamless integration are huge wins! Kudos ReSun Team & Jonas Cecil. Amazing work!!!
This looks incredibly promising—especially the way it eases the workload for clinicians while improving care quality. I’d love to see a demo and explore how we could potentially work together. Let’s connect!