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A Clinical Engineering-Oriented Explainable Artificial Intelligence Framework for Chronic Kidney Disease Risk Estimation and Multi-Parameter Staging

Article C Peer reviewed Observational

Key takeaways

Researchers built a computer program to help predict kidney disease risk. They used data from 1,659 patient records to train the system. The goal is to make the predictions easier for doctors to understand. This is an observational study of data, so it shows a link, not proof of cause.

Who did this work

Manpreet Kaur · Parul Gandhi · Kamal Upreti

Source

Article · OpenAlex, CKD works · 2026-09-30
https://doi.org/10.31354/globalce.v8i3.474