Nursing

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

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Protocol for an EHR-embedded pragmatic randomized control trial of Ambient AI to Reduce Nursing Staff Documentation Time

Background: Documentation burden significantly impacts nursing workload and well-being, with nurses ...

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LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments

This paper presents a cascaded Low-Rank Adaptation (LoRA)-based multimodal fusion framework for acti...

How Best to Explain Machine Learning Models to Clinicians: A User Study of Explanation Types

Background: Explanations play a crucial role in helping clinicians understand how black-box machine ...

Overview of the NLPCC 2026 Shared Task 1: Difficulty-Aware Multilingual and Multimodal Medical Instructional Video Understanding Evaluation

Following the CMIVQA, MMI-VQA, and M4IVQA challenges in NLPCC 2023--2025, we introduce the Difficult...

Aloe-Vision: Robust Vision-Language Models for Healthcare

Large Vision-Language Models (LVLMs) specialized in healthcare are emerging as a promising research ...

A Natural Experiment Reveals Clinically Essential and Compliance-Driven Nursing Documentation

Despite contributing substantially to clinician burnout, nursing documentation lacks empirical evide...

Automated EEG Classification to Track Levels of Consciousness

Precise prognostication in acute brain injury is limited by a lack of reliable biomarkers of conscio...

Generative Artificial Intelligence in Psychotherapy Practice: A Global Online Survey of Mental Health Professionals' Adoption

Background: Generative artificial intelligence (GenAI) tools, including large language model (LLM)-b...

Deep learning-based detection of cessation of breathing in pre-term infants

Apnoea of prematurity is characterised by recurrent episodes of cessation of breathing and remains d...

Non-invasive intracranial pressure waveform reconstruction with deep learning

Purpose: Continuous intracranial pressure (ICP) monitoring requires invasive instrumentation, reachi...

Semantic Embeddings and the Peripheral Transcriptome in Ischemic Stroke: Connecting Molecular Signatures to NANDA-I Diagnoses

Objective: To construct and evaluate, in an exploratory manner, a pathophysiologic rationale link- i...

A Machine Learning Pipeline for Scalable Annotation of Patient-Ventilator Dyssynchrony from Bedside Ventilator Data

Objective: Patient-ventilator dyssynchrony (PVD) is a common and clinically consequential problem in...

Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

Background. Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and a major determinan...

Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

Background. Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and a major determinan...

A Hierarchical Visual EEG Framework for the Assessment of Disorders of Consciousness

The objective assessment of patients with disorders of consciousness (DOC) remains a significant cli...

Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws

Myocardial perfusion quantification using contrast-enhanced ultrasound offers a bedside non-ionizing...

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation

We introduce JMed48k, a multi-profession Japanese healthcare licensing benchmark for evaluating visi...

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