Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the
health of individuals in community, acute care and post-acute care settings. Although the …

Machine learning is the field of artificial intelligence in which computers are trained to make
predictions or to identify patterns in data through complex mathematical algorithms. It has …

Continuous renal replacement therapy (CRRT) is widely utilized to support critically ill
patients with acute kidney injury. Artificial intelligence (AI) has the potential to enhance …

Purpose Identifying patients who will receive renal replacement therapy (RRT) during
intensive care unit (ICU) stay is a major challenge for intensivists. The objective of this study …

Over the past decade, artificial intelligence (AI) through machine learning (ML) has been
increasingly used in health care applications. The use of AI/ML to enhance the provision of …

Careful needs assessment, selection of the correct digital health solution, and appropriate
clinical validation of the benefits while avoiding additional health disparities are moral …

Purpose Our objectives were to (1) employ ensemble machine learning algorithms utilizing
real-world clinical data to predict 90-day prognosis, including dialysis dependence and …

Objective This study aims to develop and validate an innovative radiopathomics model that
combines radiomics and pathomics features to effectively differentiate between stages I-II …

Procalcitonin (PCT) is a biomarker for diagnosing infections and guiding antibiotic therapy.
In this study, we investigated whether PCT can predict survival and recovery at 28 days in …

In this study, we established an explainable and personalized risk prediction model for in-
hospital mortality after continuous renal replacement therapy (CRRT) initiation. This …