Artificial Intelligence & Radiology Center
AIRC is the premier hub merging Artificial Intelligence with medical imaging. Founded by elite IT and radiology experts, we drive R&D, clinical collaboration, and next-generation diagnostic innovation.
Our Dedicated AI Solutions
Experience the future of clinical diagnostics and education right now.
PneuSight AI LIVE
Our flagship AI pneumonia detection system. Upload chest X-rays for instant, highly accurate diagnostic screening powered by advanced machine learning.
Radiology Chatbot
A specialized, context-aware AI assistant engineered exclusively for radiology. Get instant answers to complex clinical, anatomical, and protocol queries.
AI Dictionary
The ultimate comprehensive database bridging the gap between clinical radiology terminology and complex artificial intelligence nomenclature.
AIRC Online Internship Program
Bridge the gap between general AI knowledge and real-world healthcare applications. This highly structured program provides students with practical, clinically relevant exposure to AI in medical imaging, aligned with emerging academic and industry needs.
Apply For Internship NowExpert-Led Seminars
Interactive sessions by leading Radiologists & AI Specialists for clinical & technical insights.
12-Module Curriculum
Covers AI Fundamentals, Models, Ethics, Imaging Basics, and specific Use Cases.
Organized LMS
24/7 access to recorded lectures, PPT slides, and structured study materials.
Live Zoom Sessions
Weekly progress discussions, orientations, and direct mentorship with AIRC instructors.
Practical Research
Guided research activities designed to develop critical analytical and problem-solving skills.
Capstone Project
A final, hands-on project focused strictly on applying AI directly to practical radiology.
Research & Innovation
Driving AI breakthroughs in diagnostic imaging using machine learning to improve healthcare precision and efficiency.
Collaborative Ecosystem
Connecting radiologists, engineers, and data scientists to create intelligent healthcare solutions together.
Education & Training
Empowering students and professionals with AI courses, radiology workshops, and mentorship through AIRC Academy.
Clinical Applications
Developing real-world AI tools for ultrasound, CT, and MRI image interpretation and medical workflow automation.
Internship Experiences
Hear directly from the students and professionals joining our mission.
I learned about the importance of data annotation, image classification, and how AI models assist in detecting abnormalities in chest X-rays. The most interesting activity for me was analyzing and interpreting chest X-ray images because it improved my observation skills. Overall, the internship experience has been engaging and well-organized so far. The LMS lecture was clear and easy to follow. Thank you for providing this opportunity.
My experience of first week of LMS is quite good. The lecture was very comprehensive and well explained. I really appreciate the approach of explaining things so precisely. The quiz part is interesting and engaging for quick and Efficient learning. My overall experience so far, is amazing.
Honestly, my experience with AIRC has been really good so far. The lectures are explained in a very simple and understandable way, especially for someone who is new to AI in radiology. I particularly enjoyed learning about how AI can be used with chest X-rays.
I really liked the way the internship is structured. The lectures are not just theoretical; they also help us understand how AI is actually connected with radiology. The quizzes are short but useful for checking whether we have understood the lecture properly.
My experience with AIRC has been amazing so far. Before starting this internship, I had very limited knowledge about AI and its role in medical imaging. The lectures made the concepts much easier to understand.
What I appreciate most about this internship is that everything is explained step by step. The LMS lectures are clear and easy to follow, and the tasks actually make you think instead of just memorizing information.
I found the internship really interesting, especially the sessions related to chest X-rays and AI. Analyzing images and understanding how AI can assist in identifying abnormalities was probably the most interesting part for me.
I joined AIRC because I wanted to understand how Artificial Intelligence is being used in radiology, and so far I am quite satisfied with the experience. The lectures are comprehensive without being too difficult.
One thing I really enjoyed about the internship was learning about concepts that I had only heard about before, such as Machine Learning and Deep Learning. The explanations were simple and connected with radiology.