Nursing

SOHO State of the Art Updates and Next Questions | Management of Primary Central Nervous System Lymphoma.

Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive form of extranodal non-Hodgkin lymphoma. Recent insights into the molecular characteristics of neoplastic B-cells are opening the era of precision diagnostics with the development of liquid biopsy based on biomarkers, such as interleukin-10 level and the presence of MYD88L265P mutation, in the cerebrospinal fluid. Moreover, a...

The association of artificial intelligence use on academic stress and academic achievement among nursing students in palestine.

Digital readiness in nursing education: eHealth literacy, AI attitudes, and associated factors among undergraduate students.

BACKGROUND: Digital readiness has become a critical competency for future nurses in the evolving landscape of healthcare. Two essential components of ...

Ensemble Machine Learning Models for Predicting Death in Post-Acute Skilled Nursing Facilities.

OBJECTIVE: Patients discharged from hospitals to skilled nursing facilities (SNFs) for post-acute care are at high risk for adverse outcomes, includin...

Indispensable tools of critical care management: blood gas analyzers.

Blood gas analysis remains one of the most indispensable diagnostic tools in critical care, yet increasing automation often obscures its analytical fo...

Rapid Evaluation of Artificial Intelligence Technology Used for Ambient Dictation in Primary Care: Comparing the Quality of Documentation of Artificial Intelligence-Generated and Human-Produced Clinical Notes.

BACKGROUND: Ambient artificial intelligence (AI) scribes can reduce the burden of administrative documentation. Prior evaluations have been vendor spe...

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

BACKGROUND: Lung ultrasound is essential for rapid, radiation-free bedside pneumothorax diagnosis but limited by variability in human interpretation. ...

DeepCRI: Real-time EEG-based Prognostication after Cardiac Arrest.

Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive care decisions. Electroencephalography (EEG) suppo...

Cross-sectional research: Application of an Artificial Intelligence-Based Pediatric Early Warning Score in the Pediatric Emergency Department.

BACKGROUND: There are a large number of pediatric emergency patients. Due to the fact that the children cannot describe their own conditions, there is...

Nursing Perceptions of the Intended Use of Artificial Intelligence to Prevent Medication Errors: A Qualitative Descriptive Study.

AIM: To explore the perceptions of nursing professionals in high-demand healthcare services regarding the adoption of AI-based support systems for the...

Are surgical nurses ready for artificial intelligence? Attitudes toward artificial intelligence technologies in surgical units.

AIM: This study aimed to investigate the attitudes of surgical unit nurses towards the use of artificial intelligence (AI) technologies in nursing. ME...

An artificial intelligence application framework for nursing education: a scoping review based on the KAS model.

Clinical accuracy and applications of the Pediatric Assessment Triangle in emergency care: a narrative review.

BACKGROUND: The Pediatric Assessment Triangle (PAT) is a rapid visual assessment framework designed to support early identification of critically ill ...

Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.

Implantable brain-computer interfaces (BCIs) - positioned at the intersection of neuromedicine and clinical neurorehabilitation - have achieved notabl...

Nurses' Evaluation of a Service Robot for Inpatient Care: Technology Acceptance Study.

BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a potential strategy to alleviate workload and suppo...

Predicting Nosocomial Infections in Hematologic Patients: A Machine Learning Model Based on Dynamic Body Temperature Trajectories.

AIMS: To identify body temperature dynamic patterns and develop a machine learning model for the early detection of nosocomial infections. DESIGN: A r...

Artificial intelligence literacy, readiness, and innovativeness: Exploring interrelationships in undergraduate nursing students.

AIM/OBJECTIVE: This study aimed to examine the relationships between AI literacy, medical AI readiness, and individual innovativeness among nursing st...

"Perceptions of artificial intelligence in nursing students: A qualitative meta-synthesis based on the UTAUT2 model".

BACKGROUND: Artificial intelligence (AI) is rapidly transforming nursing education and clinical practice. Understanding students' perceptions is essen...

Explainable machine learning for predicting mechanical ventilation in Alzheimer's patients with pneumonia: a SHAP-guided XGBoost nomogram based on MIMIC-IV.

Alzheimer's disease (AD) patients are particularly vulnerable to pneumonia and subsequent respiratory failure due to neurodegeneration-induced dysphag...

Effects of ChatGPT-generated immediate feedback integrated into VR-based OSCEs on nursing students' performance: a randomized crossover study.