Advances in artificial intelligence and deep learning systems in ICU-related acute kidney injury.

ABSTRACT:

Purpose of review

Acute kidney injury (AKI) affects nearly 60% of all patients admitted to ICUs. Large volumes of clinical, monitoring and laboratory data produced in ICUs allow the application of artificial intelligence analytics. The purpose of this article is to assimilate and critically evaluate recently published literature regarding artificial intelligence applications for predicting, diagnosing and subphenotyping AKI among critically ill patients.

Recent findings

Among recent studies regarding artificial intelligence implementations for predicting, diagnosing and subphenotyping AKI among critically ill patients, there are many promising models, but few had external validation, clinical interpretability and high predictive performance. Deep learning techniques leveragi

SUBMITTER: Ozrazgat-Baslanti T 

PROVIDER: S-EPMC8783984 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature