← brief for 2026-08-14 · Regeneration & devices

Recent advancements and future prospects on AI-integrated sensing techniques for non-invasive chronic kidney disease diagnosis: a review

Key takeaways

Scientists reviewed new tools that use artificial intelligence to spot kidney disease without needles or scans. The idea is to read signals from the body, like from sweat or breath, and let a computer flag early kidney trouble. This is a summary of the research so far, not a test you can use. There are no results here showing how well these tools work in real patients yet.

Who did this work

Suchetha Manikandan (Vellore Institute of Technology University) · P Senthilkumar (Vellore Institute of Technology University) · Shivani Selvachandran (Malla Reddy Institute Of Medical Sciences) · Jim Elliot Christopherjames (Vellore Institute of Technology University) · Shabbir Syed Abdul (Taipei Medical University)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-08-13
https://doi.org/10.3389/frai.2026.1836646