Center for AI in Radiological Sciences (CAIRS)
Promoting healthcare AI through collaboration, innovation and education.
Advancing Healthcare with AI
Bring together data scientists, biologists, clinicians, researchers and industry partners to turn AI research into innovations that improve health locally and globally.
Featured Research & Projects
AI System for Precise Grading of HCC in Liver Cancer
AI‑based, non‑invasive grading system for HCC integrating imaging (morphology, texture, functional) and clinical biomarkers to guide treatment.
Predicting Response to Neoadjuvant Chemotherapy (NAC) using Multi-Modal MRI Radiomics and Machine Learning Approaches
Predicting the NAC response assists physicians in managing the treatment plan effectively and reduces unnecessary use of NAC.
Precision Diagnosis of Autism Through Resting FMRI and Machine Learning
Pioneering diagnostic system using resting‑state fMRI and ML to objectively assess autism spectrum disorder.
Statistics
of radiology residents were involved in projects conducted at the CAIRS Center.
We have collaborated with three AI companies on projects initiated through the CAIRS Center.
Approximately 10% of all scholarly activity within the Department of Radiology was related to AI projects managed at the CAIRS Center.
Recent News
