Nursing

Latest AI and machine learning research in nursing for healthcare professionals.

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Learning curves for robot-assisted and laparoscopic partial nephrectomy.

OBJECTIVES: To evaluate the learning curve of robot-assisted partial nephrectomy (RAPN) and laparosc...

Oct 2014 25111313
Quantifying care coordination using natural language processing and domain-specific ontology.

OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AI...

(1)
Oct 2014 25324557
The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care i...

Oct 2014 26530971
Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...

Oct 2013 24140615
Introducing Infrastructure as Code for deployment and governance of medical AI: A case study

Clinical AI deployment rarely reaches the bedside because both workstation integration and governed ...

(4)
Learning the electronic health record at the minute-scale

Electronic health record foundation models are traditionally trained on the scale of years, days, or...

Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6

Wearable and bedside electrocardiogram (ECG) monitors must adapt to patient-specific morphology to m...

AI-assisted nurse-led skin cancer screening in a teledermoscopy framework: a multi-site evaluation with one million lesions

Nurse-led skin cancer screening extends specialist reach but depends on the nurse selecting which le...

Feedback-Robust AI for Patient Knowledge Graphs

Patient knowledge graphs from bedside monitoring should type their relations and state whether the d...

Early insights into nurses' perceptions, opportunities, and concerns regarding Ambient artificial intelligence in nursing practice

Documentation burden remains a persistent challenge in nursing practice, and Ambient artificial inte...

Monitoring Emergency Medical Services Frequent Use: Protocol for a Mixed-Methods Study Using Routinely-Collected Data

Introduction Aging populations are placing increasing pressure on Emergency Medical Services (EMS) p...

Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models

We propose a societal bias evaluation method for large vision-language models (LVLMs) in the era of ...

NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction

Neonatal mortality risk prediction from bedside monitoring data remains challenging due to extreme c...

Infant Care Video Dataset for Classification of Interventions Using Transformers

Healthcare documentation in the neonatal intensive care unit (NICU) presents significant challenges,...

Automated language impairment screening in acute stroke using connected speech

Connected speech is essential for everyday communication, but clinical constraints and patient fatig...

(3)
Causal Inference with Unstructured Outcomes

Causal inference has traditionally centered on scalar outcomes: whether a patient recovers, how much...

Rapid diagnosis of fever etiology using wearable temperature monitoring and machine learning

Introduction. Distinct temperature patterns have long been recognized to correlate with fevers of di...

Forecasting Trajectories of Physiological Mechanics with Sparse Clinical Data Using a Data Assimilation and Machine Learning Hybrid

Clinical decisions for determining optimal patient-specific interventions are complicated prediction...

From CHESS to CHECKMATE: A Practical Score for Predicting Shunt Dependency Following Subarachnoid Hemorrhage

Objective: Shunt-dependent hydrocephalus is a common and costly complication of aneurysmal subarachn...

Hierarchy-Aware and Anatomy-Guided Learning for Lung Ultrasound Video Classification

Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to hea...

How Do Nurses Make Clinical Decisions Via Remote Reviews: A Convergent Mixed-Methods Study

Abstract Background: Remote clinical reviews have become an integral component of contemporary nursi...

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