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Biomarkers vs Machines: The Race to Predict Acute Kidney Injury.

Lama GhaziKassem FarhatMelanie P HoenigThomas J S DurantJoe M El-Khoury
Published in: Clinical chemistry (2024)
The race to detect AKI is heating up. Regulatory approval of select biomarkers for clinical use and the emergence of machine learning algorithms that can predict imminent AKI with high accuracy are all promising developments. But the race is far from being won. Future research focusing on clinical outcome studies that demonstrate the utility and validity of implementing these new tools into clinical practice is needed.
Keyphrases
  • acute kidney injury
  • machine learning
  • cardiac surgery
  • clinical practice
  • artificial intelligence
  • deep learning
  • transcription factor
  • big data