Artificial Intelligence Predicts The Worsening Of Chronic Kidney Disease – Professor Eiichiro Kanda

Feb 6, 2020 | biology, health and medicine, trending

Original Article Reference

This SciPod is a summary of the paper ‘Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study’, published in the open access journal Scientific Reports. https://doi.org/10.1038/s41598-019-41663-7.

About this episode

Our kidneys are primarily responsible for filtering waste out of the body and into urine. However, with aging, kidney dysfunction begins to develop. Although no symptoms appear for years, this dysfunction can eventually progress to severe kidney failure. If caught early, the adverse outcomes of kidney dysfunction can be prevented. But unfortunately, the detection and management of kidney disease remain far from optimal. Professor Eiichiro Kanda of the Kawasaki Medical School has established a new model based on statistics and artificial intelligence to predict the risk factors and likelihood of kidney disease progression.
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