Tag: technology
Intracranial Pressure: Current Perspectives on Physiology and Monitoring
Intracranial pressure (ICP) monitoring is now viewed as integral to the clinical care of many life-threatening brain insults, such as severe traumatic brain injury, subarachnoid hemorrhage, and malignant stroke. It serves... read more
Adapting FDA Regulation for AI-Powered Medical Devices
To keep up with the advancement of medical technology, the FDA has been working on a digital health pre-certification program that would allow the agency to pre-approve trusted manufacturers to update their software products.... read more
Algorithm that Detects Sepsis Cut Deaths by 18%
Hospital patients are at risk of a number of life-threatening complications, especially sepsis—a condition that can kill within hours and contributes to one out of three in-hospital deaths in the U.S. Overworked doctors... read more
Machine Learning Model Validation for Prediction of Potential PICU Transfer
We developed and externally validated a novel machine learning model that identifies ICU transfers in hospitalized children more accurately than current tools. Our model enables early detection of children at risk for... read more
Patients Monitored Using Wearable Monitors Experienced Fewer Unplanned ICU Admissions
Implementation of continuous monitoring of patient vital signs using wearable monitoring technology linked wirelessly to hospital systems was associated with a reduction in unplanned ICU admissions and rapid response team... read more
Voiceless Patients in ICU Regard High-tech AAC Devices As Useful
Although the existing evidence is limited, voiceless patients regard augmentative and alternative communication (high-tech AAC) devices as a useful, reliable, and acceptable alternative communication choice in the ICU. Multicenter,... read more
Standardized Data Collection in Prehospital Critical Care
The medical problems categorized by HEMS personnel can be seen as valid. The greatest challenges remain in the classification of stroke and other neurological emergencies. Patients treated by HEMS personnel are characterized... read more
AI Predicts If And When Cardiac Arrest Will Happen
Sudden cardiac death from arrhythmia is a major cause of mortality worldwide. In this study, we developed a novel deep learning (DL) approach that blends neural networks and survival analysis to predict patient-specific survival... read more
3D Printing PPE During COVID-19 Pandemic
Supply chain disruption during the COVID-19 pandemic has forced healthcare systems to look for alternative ways to meet dramatically increased demand for personal protective equipment (PPE). One potential solution to this... read more
ARDS Subphenotypes Validation and Utility Identified by Machine-learning Models
Classifier models using clinical variables alone can accurately assign ARDS subphenotypes in observational cohorts. Application of these models can provide valuable prognostic information and could inform management strategies... read more
Experiences of ICU Nurses with an Innovative Digital Diary Intervention
ICU nurses reported that the Post-ICU diary had added value for patients and their relatives. However, in the beginning they also experienced barriers such as lack of time, insufficient integration with their own work processes,... read more
The Intensivist’s Challenge: Aging and Career Growth in a High-Stress Medical Specialty
This book brings together personal narratives from critical care medicine specialists around the world. Most of these physicians started in critical care at or before the exponential increase in technological modalities to... read more
Telemedicine in the ICU
This text provides a concise, yet comprehensive overview of telemedicine in the ICU. The first part of the book reviews common issues faced by practitioners and hospital administrators in implementing and managing tele-ICU... read more
Bringing Biological ARDS Phenotypes to the Bedside with Machine-learning-based Classifiers
The identification of distinct phenotypes within heterogeneous disease states is a key component of personalised medicine, enabling enrichment of clinical trials, better prognostication, and delivery of tailored treatments... read more
Computer-assisted Individualized Hemodynamic Management Reduces Intraoperative Hypotension
In patients having intermediate- to high-risk surgery, computer-assisted individualized hemodynamic management significantly reduces intraoperative hypotension compared to a manually controlled goal-directed approach. All... read more
Artificial Intelligence Hold Promise in the ICU
In a 2018 article entitled “Human Cognitive Limitations”, the University of Utah's Alan Morris estimated the number of variables an intensivist has to take into account for a patient on mechanical ventilation. He... read more
Multi-task Prediction of Organ Dysfunction in ICUs
The intensive care unit (ICU) of a hospital looks after the most medically vulnerable patients, many of whom require organ support, such as mechanical ventilation or dialysis. While always critical, the demand on ICU services... read more
