AI Medical Compendium Journal:
Current opinion in critical care

Showing 1 to 9 of 9 articles

Advances in critical care nephrology through artificial intelligence.

Current opinion in critical care
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.

Artificial intelligence to advance acute and intensive care medicine.

Current opinion in critical care
PURPOSE OF REVIEW: This review explores recent key advancements in artificial intelligence for acute and intensive care medicine. As artificial intelligence rapidly evolves, this review aims to elucidate its current applications, future possibilities...

Neuromonitoring in the ICU - what, how and why?

Current opinion in critical care
PURPOSE OF REVIEW: We selectively review emerging noninvasive neuromonitoring techniques and the evidence that supports their use in the ICU setting. The focus is on neuromonitoring research in patients with acute brain injury.

Mangled extremity: limb salvage for reconstruction versus primary amputation.

Current opinion in critical care
PURPOSE OF REVIEW: While MESS has historically influenced limb salvage versus amputation decisions, its universal applicability remains uncertain. With trauma systems expanding and advancements in trauma care, the need for a nuanced understanding of ...

Current knowledge and availability of machine learning across the spectrum of trauma science.

Current opinion in critical care
PURPOSE OF REVIEW: Recent technological advances have accelerated the use of Machine Learning in trauma science. This review provides an overview on the available evidence for research and patient care. The review aims to familiarize clinicians with ...

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

Current opinion in critical care
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 th...

Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions.

Current opinion in critical care
PURPOSE OF REVIEW: Patients, surrogate decision makers, and clinicians face weighty and urgent decisions under uncertainty in the ICU, which could be aided by risk prediction. Although emerging artificial intelligence/machine learning (AI/ML) algorit...

Artificial intelligence to guide management of acute kidney injury in the ICU: a narrative review.

Current opinion in critical care
PURPOSE OF REVIEW: Acute kidney injury (AKI) frequently complicates hospital admission, especially in the ICU or after major surgery, and is associated with high morbidity and mortality. The risk of developing AKI depends on the presence of preexisti...

Prompting physicians to address a daily checklist for antibiotics: do we need a co-pilot in the ICU?

Current opinion in critical care
PURPOSE OF REVIEW: Failed opportunities to reduce morbidity and mortality occur when evidence-based therapies are not fully implemented in clinical practice. We reviewed the recent literature on implementation strategies in the intensive care unit, w...