Related Experiment Video

Updated: May 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.1K

Predicting violence in the intensive care unit: Can artificial intelligence protect those who care?

Gideon U Johnson1, Amanda Towell-Barnard2, Beverley Ewens2

  • 1King's College London, Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, London, United Kingdom.

Intensive & Critical Care Nursing
|April 29, 2025
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

6.9K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.4K

Related Experiment Videos

Last Updated: May 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.1K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

6.9K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.4K

Related Concept Videos

Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.5K

Articles linked to this work by shared authors, journal, and citation graph.

Missed continuity of nursing and therapy care at the point of intensive care unit step-down: A scoping review.

Intensive & critical care nursing·2026

Attitudes and expectations towards acupuncture for primary dysmenorrhoea: Findings from a cross-sectional survey in Australia.

Acupuncture in medicine : journal of the British Medical Acupuncture Society·2026

Co-designing a student-led digital assessment resource (SCAR-V) to enhance clinical reasoning in undergraduate nursing education: A qualitative study.

Nurse education today·2026

Collaboration Between People Admitted to Acute Mental Health Units, Their Family Members and Nurses in the Detection of Mental State Changes and Recovery: A Qualitative Systematic Review.

International journal of mental health nursing·2026

Digital Pain Assessment: Patient and Family Perspectives.

Nursing reports (Pavia, Italy)·2026

Reimagining intensive care unit recovery: The Critical Illness Survivorship Programme for humanising post-intensive care unit care - A discussion paper.

International journal of nursing studies·2026

Prothrombin complex concentrate (PCC) vs. non-PCC strategies for warfarin reversal in left ventricular assist device recipients: A systematic review and meta-analysis.

Intensive & critical care nursing·2026

Long-term outcomes and prognostic factors of patients undergoing tracheostomy for prolonged mechanical ventilation: A retrospective study.

Intensive & critical care nursing·2026

The associations of time-varying norepinephrine dose and duration with severe pressure injuries in ICU patients: A dose-response analysis.

Intensive & critical care nursing·2026

Management of liquid pharmaceutical residues in the intensive care unit: an ancillary analysis of the multicenter observational GAME-OVER study.

Intensive & critical care nursing·2026

Interprofessional collaboration between nurses and physicians in intensive care and nurse's role in task allocation: A scoping review.

Intensive & critical care nursing·2026

Nurse work environment, missed nursing care, moral distress, and burnout among ICU nurses.

Intensive & critical care nursing·2026

A QC-guided framework for performance assessment in plate-based RNAi screening with fluorescence and metabolic readouts.

BioTechniques·2026

Evaluating the outputs of ARAE-based molecular generative model for synthetic accessibility and BTK inhibition.

Bioorganic & medicinal chemistry·2026

Accelerometers improve detection of movement related artifact in bedside ICU data.

Journal of clinical monitoring and computing·2026

Subtype specific artificial intelligence modelling of cardiac amyloidosis using echocardiography and electrocardiography.

European heart journal. Digital health·2026

Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology.

Discover artificial intelligence·2026

Artificial intelligence-based quantification of epidermal proliferation and apoptosis in human skin.

JID innovations : skin science from molecules to population health·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
Jove
Visualize
Contact Us