Advances in critical care nephrology through artificial intelligence.

Journal: Current opinion in critical care

PMID: 39248074

Abstract

PURPOSE OF REVIEW: This review explores the transformative advancement, potential application, and impact of artificial intelligence (AI), particularly machine learning (ML) and large language models (LLMs), on critical care nephrology.

Authors

Wisit Cheungpasitporn

Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Charat Thongprayoon

Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Kianoush B Kashani

Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Keywords

Acute Kidney Injury Artificial Intelligence Clinical Decision-Making Critical Care Humans Machine Learning Nephrology Renal Replacement Therapy

External Resources

View on PubMed Access via DOI PubMed (39248074)

Advances in critical care nephrology through artificial intelligence.

Abstract

Authors

Keywords

External Resources

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