Seizure Detection Algorithms in Critically Ill Children

Some commercially available seizure detection algorithms demonstrate performance for seizure detection that is comparable to that of electroencephalography experts using quantitative electroencephalography displays. Continuous... read more

Seizure Detection Algorithms in Critically Ill Children

Machine Learning for Patient Risk Stratification for ARDS

An acute respiratory distress syndrome (ARDS) prediction model based on electronic health record (EHR) data with good discriminative performance has been developed. The results demonstrate the feasibility of a machine... read more

Machine Learning for Patient Risk Stratification for ARDS

Machine Learning vs. Physicians’ Prediction of AKI in Critically Ill Adults

The machine-learning-based AKIpredictor achieved similar discriminative performance as physicians for prediction of AKI-23, and higher net benefit overall, because physicians overestimated the risk of AKI. This suggests... read more

Machine Learning vs. Physicians’ Prediction of AKI in Critically Ill Adults

Ethical Considerations About Artificial Intelligence for Prognostication in Intensive Care

New Artificial Intelligence (AI) and machine learning techniques have the potential to improve prognostication in intensive care. However, they require further refinement before they can be introduced into daily practice.... read more

Ethical Considerations About Artificial Intelligence for Prognostication in Intensive Care

Intensive Care Unit Telemedicine, An Issue of Critical Care Clinics

This issue of Critical Care Clinics, edited by Dr. Kianoush Kashani in collaboration with Consulting Editor Dr. John Kellum, is focused on Intensive Care Unit Telemedicine. Topics in this issue include: ICU telemedicine... read more

Intensive Care Unit Telemedicine, An Issue of Critical Care Clinics

Conditional Survival With Increasing Duration of ICU Admission

This is an observational study of three intensive care databases two in the United States (Medical Information Mart for Intensive Care III and electronic ICU) and one in United Kingdom (Post Intensive Care Risk-Adjusted Alerting... read more

Conditional Survival With Increasing Duration of ICU Admission

Critical: Science and Stories From the Brink of Human Life

Following in the wake of hugely successful medical memoirs such as Do No Harm and Fragile Lives, Critical is an intelligent, compelling and profoundly insightful journey into the world of intensive care medicine and the lives... read more

Critical: Science and Stories From the Brink of Human Life

PICU Admission, Discharge, and Triage Practice Statement and Levels of Care Guidance

This practice statement and level of care guidance manuscript addresses important specifications for each PICU level of care, including the team structure and resources, technology and equipment, education and training, quality... read more

PICU Admission, Discharge, and Triage Practice Statement and Levels of Care Guidance

Determinants of Citation Impact in Large Clinical Trials in Critical Care

Clinical trials conducted by investigator-led research groups are significantly more frequently cited than industry-led trials in critical care medicine. In addition, costs appear to be substantially lower with investigator-led... read more

Determinants of Citation Impact in Large Clinical Trials in Critical Care

Use of Machine Learning to Analyze Routinely Collected ICU Data

The rate of publication of studies using machine learning to analyze routinely collected ICU data is increasing rapidly. The sample sizes used in many published studies are too small to exploit the potential of these methods.... read more

Use of Machine Learning to Analyze Routinely Collected ICU Data

Audiobooks As Good As The Old-fashioned Reading

With the rise of new technologies, long gone are the days of cassette tapes and CDs that made stopping, rewinding, learning, and restarting an audio recording an annoyance. Digital media now makes it possible for individuals... read more

Audiobooks As Good As The Old-fashioned Reading

Podcast Use and Preferred Content Among Residents

This study is the first to report podcast content needs and preferred formats among specialty trainees. Anesthesia residents appear to have well defined podcast content preferences. In addition, senior and junior anesthesia... read more

Podcast Use and Preferred Content Among Residents

Fragility Index Calculator

The fragility index is a measure of the robustness (or fragility) of the results of a clinical trial. The fragility index is a number indicating how many patients would be required to convert a trial from being statistically... read more

Fragility Index Calculator

Telehealth and Patient Outcomes

Ranjit Deshpande, MD, and Donna Lee Armaignac, PhD, APRN, CCNS, CCRN, discuss maximizing positive patient care outcomes through telemedicine. Dr. Armaignac presented on this topic at the Society's 48th Critical Care Congress.... read more

Telehealth and Patient Outcomes

Holographic Telepresence  – Taking Trauma Care to the Next Level

Advancing technology is all set to bring in a new era of highly-realistic holographic Telepresence. Throughout the history of science fiction and video gaming, we've seen holograms come in various shapes and sizes. Today,... read more

Holographic Telepresence  – Taking Trauma Care to the Next Level

An Innovative Virtual Reality Experience in the PICU

Virtual reality is an innovative, easily administered, and enjoyable tool that subjectively calms PICU patients in an otherwise chaotic environment. 100% of participants enjoyed using virtual reality, and 84% reported preference... read more

An Innovative Virtual Reality Experience in the PICU

Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock

In general, clinical perceptions of Early Warning System 2.0 were poor. Nurses and providers differed in their perceptions of sepsis and alert benefits. These findings highlight the challenges of achieving acceptance of predictive... read more

Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock