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Published – September 03, 2026 03:27 pm IST – CHENNAI
Image used for representation
| Photo Credit: Getty Images
Researchers from the Indian Institute of Technology, Madras (IIT Madras), and Christian Medical College (CMC), Vellore, have developed a set of AI-based tools designed to assist in the early detection and assessment of kidney diseases, a press release said.
The team has developed three technologies that complement each other. The first is a machine learning model that uses clinical and laboratory information to predict the risk of chronic kidney disease (CKD). This CKD prediction model is implemented in a user-friendly prototype interface to facilitate future clinical translation.
The second is a deep learning system that automatically analyses CT scans and classifies them into four categories: normal kidney, kidney cyst, kidney stone, and kidney tumour. The image classifier has been trained with over 12,000 images and can distinguish healthy kidneys from cysts, stones, and tumours.
