Projects
MedPAO: A Protocol-Driven Agent for Structuring Medical Reports
ResearchPublished2025
- MedPAO is an intelligent agent system designed to process and structure medical radiology reports according to the standardized P.A.B.C.D.E.F protocol for chest x-ray interpretation.
- The system extracts medical concepts from free-text radiology reports, maps them to standard medical ontologies, and organizes them into a structured clinical format. Paper accepted in MICCAI 2025
LLMAI AgentPAO LoopMedical grounding
CXR Agent- Comprehensive Chest X-Ray Analysis System
ResearchIn-Progress2024-2025
- A state-of-the-art AI system that combines advanced computer vision techniques with agentic Retrieval-Augmented Generation (RAG) for comprehensive chest X-ray analysis.
- Integrates multiple AI models and medical knowledge bases to provide detailed diagnostic insights.
LLMMCPRAGAI Agent
Efficient Knowledge Distillation of SAM for Medical Image Segmentation
ResearchPublished2025
- Developed KD SAM which effectively balances segmentation accuracy and computational efficiency, making it well-suited for real-time medical image segmentation applications in resource-constrained environments.
- Implements advanced knowledge distillation techniques to compress the Segment Anything Model (SAM) while maintaining high performance.
SegmentationKnowledge distillationPerceptual lossPrompt-based segmentation
Automated Non-Invasive Diagnosis of Diabetic Retinopathy using CNN
DesktopCompleted2023
- Developed a portable, software-driven imaging system using Raspberry Pi to capture retinal fundus images and predict the severity of diabetic retinopathy using CNN.
- Cost-effective solution for early detection of diabetic retinopathy in resource-limited settings.
CNNRaspberry PiClassificationImaging