Clinical Engineering
& Artificial Intelligence
Bridging the gap between technology and medicine. Join IT and Medical students in pioneering research that shapes the future of healthcare.
AI Research
Machine learning, deep learning, and neural networks for medical diagnostics
Clinical Engineering
Medical device development, biomedical systems, and healthcare technology
Interdisciplinary
Collaboration between IT and Medicine students for innovative solutions
Where Technology Meets Medicine
The CE-AI Research Club is a student-led initiative that brings together passionate individuals from Information Technology and Medical faculties to explore the intersection of clinical engineering and artificial intelligence.
Founded with the vision of fostering interdisciplinary collaboration, we provide a platform for students to engage in cutting-edge research, attend workshops, and develop skills that bridge the gap between healthcare and technology.
Our members work on real-world projects ranging from AI-powered diagnostic tools to innovative medical device prototypes, preparing them to become leaders in the rapidly evolving field of healthcare technology.
Our Current Projects
Explore our ongoing research initiatives where students collaborate on real-world healthcare challenges.
Using deep learning to analyze X-rays, MRIs, and CT scans for early disease detection and diagnosis assistance.
Developing smart wearable devices that continuously monitor vital signs and predict health anomalies.
Extracting insights from electronic health records using NLP to improve patient care and clinical decisions.
Exploring AI-assisted surgical planning and robotic systems for minimally invasive procedures.
Applying machine learning to accelerate drug discovery and predict molecular interactions.
Building models to predict patient outcomes, hospital readmissions, and resource allocation needs.
News & Events
Join us for our flagship event featuring keynote speakers from leading hospitals and tech companies. Register now for early bird tickets.
Read moreOur Paper Accepted at MICCAI 2026
Congratulations to our research team! Our paper on deep learning for cardiac imaging has been accepted at the prestigious MICCAI conference.
Introduction to Medical Image Processing
A beginner-friendly workshop covering the fundamentals of medical image processing using Python and popular libraries.
Team Wins Hackathon
Our members secured first place at the Healthcare Innovation Hackathon with their AI-powered triage system prototype.
Partnership with City Hospital
We are excited to announce a new research collaboration with the City Hospital radiology department.
Spring Recruitment Open
Applications are now open for new members. We are looking for motivated students from IT and Medicine faculties.
Meet the Leadership
Our dedicated team of students and faculty advisors driving innovation at the intersection of technology and healthcare.
Contact Us
Interested in joining our club or collaborating on research? We'd love to hear from you.
ceai.club@university.edu
Room 305, Engineering Building
University Campus
Tuesdays: 5:00 PM - 7:00 PM
Thursdays: 4:00 PM - 6:00 PM