Nursing

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

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Showing 1954-1974 of 5,884 articles
[Intelligent Monitoring System Based on Computer Vision and Artificial Intelligence].

To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variab...

(2)
Jan 2025 39993985
Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral

Chronic wounds affect 8.5 million Americans, particularly the elderly and patients with diabetes. ...

(1)
Physicians' required competencies in AI-assisted clinical settings: a systematic review.

BACKGROUND: Utilizing Artificial Intelligence (AI) in clinical settings may offer significant benefi...

Jan 2025 39821209
Zero-shot Shark Tracking and Biometrics from Aerial Imagery

The recent widespread adoption of drones for studying marine animals provides opportunities for de...

A Non-Intrusive Computer Vision Framework for Real-Time Vital Sign Digitization and Adaptive Drug Infusion in Critical Care Environments

This work proposes a computer vision framework to automate the extraction of vital signs from bedsid...

From bench assays to bedside: a context-embedding transformer predicts monoclonal antibody viscosity, clearance, and regulatory success

Late-stage failures of monoclonal antibody (mAb) programs often reflect developability liabilities, ...

Multi-modal, multi-species, and multi-task latent-space model for decoding level of consciousness

Assessing the degree and characteristics of consciousness is central to caring for patients with Dis...

Potential of ChatGPT in Youth Mental Health Emergency Triage: Comparative Analysis with Clinicians

Large language models (LLMs), such as GPT-4, are increasingly integrated into healthcare to support ...

Introducing and Evaluating the Patient Report Template for AI-Powered Nursing Handoffs

This study evaluates the effectiveness of the Patient Report Template (PRT) in addressing inefficien...

Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: a systematic review

Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired t...

Real-World Evaluation of Large Language Models in Healthcare (RWE-LLM): A New Realm of AI Safety & Validation

The deployment of artificial intelligence (AI) in healthcare necessitates robust safety validation f...

From Spreadsheets and Bespoke Models to Enterprise Data Warehouses: GPT-enabled Clinical Data Ingestion into i2b2

Clinical and phenotypic data available to researchers are often found in spreadsheets or bespoke dat...

Comparing Machine Learning and Nurse Predictions for Hospital Admissions in a Multisite Emergency Care System

Emergency department (ED) crowding strains patient care and drives up costs. Early decisions on the ...

Identifying Cardiogenic Shock Sub-Phenotypes with Machine Learning: A Multicenter Study Combining Clinical and Echocardiographic Data

Sub-phenotyping cardiogenic shock (CS) patients using non-traditional clustering methods represents ...

Evaluating Artificial Intelligence Assisted Nursing Education: Student Perceptions, Ethical Concerns, and Pedagogical Implications

Artificial intelligence (AI) tools are increasingly being integrated into nursing education to enhan...

Exploring Healthcare Professionals’ Perspectives on Artificial Intelligence in Palliative Care: A Qualitative Study

The use of Artificial Intelligence (AI) methods in palliative care research is increasing. Most AI p...

Early Warning Model for Patient Deterioration: A Machine Learning Approach for Nurse-Led Monitoring

The early recognition of clinical deterioration in hospital inpatients continues to be a major chall...

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