← brief for 2026-09-28 · Slowing decline

Explainable Artificial Intelligence for Early Diabetic Kidney Disease Risk Profiling in Type 2 Diabetes: Translational Readiness and Clinical Boundaries.

Paper No results yet Peer reviewed

Key takeaways

This review looks at how computer tools can help doctors spot early kidney damage in people with type 2 diabetes. It explains how these tools work and where they might be useful in a clinic. There are no new test results in this paper. It is a summary of what we already know about using these tools.

Who did this work

Wu T (Department of Endocrinology, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang, People's Republic of China.) · Cai W (Department of Laboratory Medicine, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang, People's Republic of China.) · Guan Z (Department of Endocrinology, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang, People's Republic of China.) · Li Z (Department of Traditional Chinese Medicine, Xuzhou Central Hospital, Southeast University, Xuzhou, Jiangsu, People's Republic of China.)

Source

Paper · Europe PMC, CKD · 2026-09-23
https://doi.org/10.2147/dmso.s624805