Nursing

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

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Perioperative and long-term renal functional outcomes of robotic versus laparoscopic partial nephrectomy: a multicenter matched-pair comparison.

PURPOSE: We compared perioperative and long-term renal functional outcomes of robot-assisted partial...

Jan 2015 25585500
Comparison of perioperative outcomes between robotic and laparoscopic partial nephrectomy: a systematic review and meta-analysis.

CONTEXT: Robotic partial nephrectomy (RPN) is rapidly increasing; however, the benefit of RPN over l...

Jan 2015 25572825
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...

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
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...

SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection

Despite strong predictive results in the clinical machine learning literature, the translation of th...

Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware Regression

Purpose: In clinical practice, accurate prediction of disease risk must be accompanied by transparen...

Contactless ultrasound chest vibration mapping discriminates respiratory and cardiac patients from healthy individuals.

Contactless assessment of cardiopulmonary function remains an unmet need, with current approaches re...

Solving Emergency Department Triage with Small Language Models

Emergency department (ED) triage assigns patients a five-level Emergency Severity Index (ESI) score ...

Self-Care Competence and AI-Supported Learning as Predictors of Enhanced Clinical Decision-Making Skills Among Nurses

Clinical decision-making is a critical competency for nurses particularly in resource-constrained he...

Non-Invasive Arterial Blood Pressure Waveform Generation in Critically Ill Patients: A Sensor-Based Deep Learning Approach

Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...

Scalable Micro-Credentials for AI Literacy in Healthcare: An AI-Assisted Framework for Expert-Led Education

The rapid evolution of clinical guidelines and artificial intelligence has created a velocity gap in...

Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification

Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failur...

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