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Development and validation of an interpretable machine learning model for predicting early acute kidney injury and altered consciousness in cardiac surgery patients admitted to the intensive care unit: a retrospective study

Article C Peer reviewed Observational

Key takeaways

Researchers built a computer model to predict sudden kidney damage in people recovering from heart surgery. They used past hospital records to test if the model could spot risk early. This is an observational study, so it shows a link but not proof that the model works in real time. It may help doctors act faster, but more testing is needed.

Who did this work

Shu Yang (Jiangnan University) · Jing Luo (Jiangnan University) · Lianzheng Ma (Jiangnan University) · Dongxiao Huang (Jiangnan University) · Minmin Zhu (Jiangnan University) · Linlin Cai (Jiangnan University)

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-10-07
https://doi.org/10.3389/fendo.2026.1959304