How AI is Reshaping Healthcare During COVID-19

As the healthcare and pharmaceutical industries rush to tackle a wide range of COVID-19 challenges, from developing treatments and sourcing medical supplies to mitigating outbreaks and racing towards a vaccine, the use of... read more

How AI is Reshaping Healthcare During COVID-19

Philips Launches COVID-19 Rapid Equipment Deployment Kit for ICUs

Royal Philips introduced its Rapid Equipment Deployment Kit for ICU ramp-ups, allowing doctors, nurses, technicians and hospital staff to quickly support critical care patient monitoring capabilities during the COVID-19 pandemic.... read more

Philips Launches COVID-19 Rapid Equipment Deployment Kit for ICUs

ICU Doctor Creates App to Help Patients on Ventilators Communicate Faster

ICU Doctor Chandar Abboy and his partner came up with a way to give a voice to the voiceless. The app called “Yo Doc” allows patients on ventilators to better communicate their needs and feelings. Dr. Abboy says this... read more

ICU Doctor Creates App to Help Patients on Ventilators Communicate Faster

A Concise Overview of Non-invasive IAP Measurement Techniques

This review presents an overview of previously reported non-invasive intra-abdominal pressure (IAP) measurement techniques. Each section covers the basic physical principles and methodology of the various measurement techniques,... read more

A Concise Overview of Non-invasive IAP Measurement Techniques

A Guide To Designing Low-Cost Ventilators for COVID-19

The best medical treatment currently for COVID-19 is to simply assist the lung function with mechanical ventilation. Unfortunately hospitals are experiencing such huge influx of patients and do not have enough ventilators. This... read more

A Guide To Designing Low-Cost Ventilators for COVID-19

Big Data to Help Predict Individual Trauma Patient Outcome

Chinese researchers are using big data to help identify trauma patients who could experience potential adverse health events in the emergency department through the aid of a clinical decision support system. It was developed... read more

Big Data to Help Predict Individual Trauma Patient Outcome

New Technology Gives Parents Virtual Face Time With Their Hospitalized Children

The pediatric intensive care unit (PICU) team at the University of Maryland Children's Hospital (UMCH) is offering a new way for families to interact with their child and the medical team when they can’t be there in person. PICU... read more

New Technology Gives Parents Virtual Face Time With Their Hospitalized Children

7 Nursing Technologies Helping Patient Care

From pizza ordering to financial security, new technology is changing the way we live our lives every day. And now more than ever before, new technology is finding ways to impact the healthcare industry. A new survey of... read more

7 Nursing Technologies Helping Patient Care

eFAST Performance with a Novel vs. Conventional Transducers

Point-of-injury extended focused assessment with sonography in trauma (eFAST) may identify life-threatening torso hemorrhage and expedite casualty evacuation. The purpose of this study was to compare combat medic eFAST performance... read more

eFAST Performance with a Novel vs. Conventional Transducers

Critical Care Telemedicine: A Management Fad or the Future of ICU Practice?

Critical care telemedicine is a potential solution to the scarcity of critical care expertise, while quality and safe care can also be promoted through off-site surveillance, early warning capabilities, clinical decision... read more

Critical Care Telemedicine: A Management Fad or the Future of ICU Practice?

Leading EHR System Adopts Bundle to Prevent ICU Delirium

Seminal studies at Vanderbilt University Medical Center over the past two decades by pulmonary and critical care specialist Wes Ely, M.D. and colleagues have spurred ICU delirium research, and the resulting body of evidence... read more

Leading EHR System Adopts Bundle to Prevent ICU Delirium

Clinical Decision Support Systems: Future or Present in ICU?

Clinical decision support systems (CDSS) are today, a reality. More complex, useful systems will be developed in the near future, forging CDSS an essential part of ICU monitoring. However, we need to understand the algorithms... read more

Clinical Decision Support Systems: Future or Present in ICU?

Artificial Intelligence or Merely a Symptom of a Broken Healthcare System?

We are constantly hunting for newer and better sources of information. This leads to a perpetual generation of newer lab tests, different hemodynamic gizmos, and fresh decision tools. Some of these pan out. Most don't. Why... read more

Artificial Intelligence or Merely a Symptom of a Broken Healthcare System?

A CT Scanner in Your Pocket? Lung Ultrasonography Beats Chest Radiography

Lung ultrasound is still a relatively young diagnostic modality, but it is evolving and growing at a rapid pace. Harrison's manual of internal medicine deemed to it to be a "useless" modality as recently as 2001. Once... read more

A CT Scanner in Your Pocket? Lung Ultrasonography Beats Chest Radiography

Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating

Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors... read more

Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating

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