MAISys research group at IIT Jodhpur is constantly working towards the development and deployment of AI-driven medical technologies. We are working in close collaboration with hospitals and health centers. Dedicated AI solutions for clinical problems and translational research are our primary interests.

Our Research Focus

• Self-Supervised Learning for Medical Imaging: Developing techniques to leverage large volumes of unlabeled radiographs. This approach aims to improve diagnostic models with limited labeled data, enhancing the efficiency of medical image analysis.
• AI for Radiogenomics: Integrating multi-modal data, including medical images and electronic health records, for cancer diagnosis. Our work focuses on predicting critical genomic mutations to guide personalized treatment plans.
• Federated Learning in Medical Imaging: Addressing data privacy and heterogeneity challenges across healthcare institutions. We explore distributed learning techniques to enable collaborative model training while ensuring patient data remains locally secured.
• Semi-Automatic Echo Image Acquisition: Developing AI-driven robotic systems for standard echocardiographic view acquisition. This project aims to reduce physical strain on sonographers and improve image consistency in cardiovascular diagnostics.
• 3D Medical Image Analysis: Creating deep learning models for tasks such as ribcage implant reconstruction from CT scans. Our goal is to automate and improve the accuracy of complex 3D medical image interpretation tasks.

Sponsored Projects

• AI-driven Robot-assisted Cardiac Ultrasound System to Acquire Clinically Useful Standard Echocardiographic Views
• Evaluation and development of Machine Learning (ML) models for the automated detection, localisation and characterisation of traumatic rib fractures on CT scans
• AI Driven ASIC for Real-time Medical Imaging Applications
• Resource Constrained AI