AIMC Topic: Critical Care

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Steroids Improve Hemodynamics in Infants With Adrenal Insufficiency After Cardiac Surgery.

Journal of cardiothoracic and vascular anesthesia
OBJECTIVE: To investigate whether steroid replacement therapy improved hemodynamics in infants after surgery for congenital heart disease only when they develop adrenal insufficiency. The authors retrospectively investigated adrenal function and eval...

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Electronic medical records (EMRs) are capturing increasing amounts of data per patient. For clinicians to efficiently and accurately understand a patient's clinical state, better ways are needed to determine when and how to display EMR data. We built...

Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury.

Health economics
For a continuous treatment, the generalised propensity score (GPS) is defined as the conditional density of the treatment, given covariates. GPS adjustment may be implemented by including it as a covariate in an outcome regression. Here, the unbiased...

Does Robotic Telerounding Enhance Nurse-Physician Collaboration Satisfaction About Care Decisions?

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
BACKGROUND: Delivering healthcare using remote robotic telepresence is an evolving practice in medical and surgical intensive critical care units and will likely have varied implications for work practices and working relationships in intensive care ...

An Intelligent Robotic Hospital Bed for Safe Transportation of Critical Neurosurgery Patients Along Crowded Hospital Corridors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous navigation ability. The robotic bed is developed for fast and safe transportation of critical neurosurgery patients without changing beds. Flexbed is mor...

Analysis of responses from artificial intelligence programs to medication-related questions derived from critical care guidelines.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: To evaluate the recommendations given by 4 publicly available artificial intelligence (AI) programs in comparison to recommendations in current clinical practice guidelines (CPGs) focused on critically ill adults.

[Pay attention to the application value of artificial intelligence in the diagnosis, treatment and analysis of sepsis].

Zhonghua yi xue za zhi
In critical care medicine, sepsis management represents a critical barrier to improving clinical outcomes, primarily due to the disease's profound heterogeneity and the current inability to optimally identify patient subgroups benefiting from persona...

Predicting Length of Stay in Acute Care Using Day-to-Day Patient Information.

Studies in health technology and informatics
Predicting the Length of Stay (LoS) in healthcare settings is a critical task that supports optimized resource allocation and tailored clinical decision-making. Unlike most studies focused on ICU patients, this work targets acute care settings, addre...

Technology advances in the placement of naso-enteral tubes and in the management of enteral feeding in critically ill patients: A narrative study.

Clinical nutrition ESPEN
Enteral feeding needs secure access to the upper gastrointestinal tract, an evaluation of the gastric function to detect gastrointestinal intolerance, and a nutritional target to reach the patient's needs. Only in the last decades has progress been a...

Primer on large language models: an educational overview for intensivists.

Critical care (London, England)
The integration of artificial intelligence (AI) and machine learning-enabled medical technologies into clinical practice is expanding at an unprecedented pace. Among these, large language models (LLMs) represent a subset of machine learning designed ...