Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injury
Although consistency among externally validated AKI models is promising for eventual deployment at the bedside, few have undergone prospective validation, and the real-world clinical impact of artificial intelligence systems for AKI at the bedside remains unclear. Future work should focus on recent advances in artificial intelligence techniques and implementation studies, which assess overall clinical applicability.
Authors
- Tezcan Ozrazgat‐Baslanti (ORCID: https://orcid.org/0000-0002-1158-9928)
- Benjamin Shickel (ORCID: https://orcid.org/0000-0002-5304-7027)
- Azra Bihorac
Institutions
- Intelligent Hearing Systems (United States) (US)
- Hypertension Institute (US)
- Intelligent Health (United Kingdom) (GB)
Publication Details
- Journal
- Current Opinion in Nephrology & Hypertension
- Published
- 2025-09-03
- DOI
- https://doi.org/10.1097/mnh.0000000000001112
- Citations
- 1
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 1.43