CAIMIF
CAIMIF drives AI innovation in medicine, imaging, and forensics through advanced research, training, and global collaboration. Leveraging state-of-the-art facilities and rich medical datasets, the center fosters innovation, training, and global collaborations to shape the future of healthcare and beyond.

As the world witnesses the unprecedented and exponentially growing impact of Artificial Intelligence on every sphere of human life, the Center for Artificial Intelligence in Medicine, Imaging & Forensics at Sharda University stands poised to lead this transformation. With state-of-the-art computing facilities, cutting-edge infrastructure, and the combined strength of thousands of students and faculty members from all fourteen schools of the university on a single campus, the center enjoys a unique multidisciplinary advantage.
This collaborative environment is further enriched by access to invaluable medical data from the School of Medical Sciences & Research, School of Dental Sciences, and School of Allied Health Sciences, enabling the development of innovative AI-driven solutions in medicine and healthcare.
Leadership insights from our department head

Professor and Head Physics
Welcome to our esteemed university! We are dedicated to fostering an environment where innovation thrives, knowledge expands, and students are empowered to achieve their full potential. Our commitment to academic excellence, groundbreaking research, and community engagement remains unwavering. We believe in nurturing holistic development, encouraging critical thinking, and preparing our graduates to be global leaders and responsible citizens. Join us on a journey of discovery and transformation, where your aspirations are our priority.
Explore our latest research and case studies in AI and medical imaging

In this study a Deep Learning based Siamese Neural Network is trained for determining whether normal and electronically disguised versions have same lineage.
Learn More
In DTI, information about the fastest direction of diffusion in each voxel is used to computationally generate white matter fiber tracts passing through those voxels.
Learn More
Study of pre-existent method , Development of a model for PD diagnosis ,Using Voxel Based Morphometry (VBM) for studying brains of people affected with PD ,Study of Resting State Networks from fMRIs.
Learn More
Develop 3D CNN models for 3D medical image analysis Study and implement the effect of patches in image classification and segmentation
Learn More