Nursing

Assessing Cognitive Complexity in Student Interactions With AI-Based Learning Activities: Using Bloom's Taxonomy to Foster Critical AI Literacy.

BACKGROUND: Critics of AI note its potential to foster passivity, intellectual dependency, and repro...

The experience of nursing students using generative artificial intelligence: a qualitative meta-synthesis.

OBJECTIVE: This study systematically integrated qualitative research regarding nursing students' exp...

AI at the bedside: Randomised controlled trial of ChatGPT's impact on student performance in real-patient clinical exams.

BACKGROUND: Generative artificial intelligence (AI) tools are entering clinical training faster than...

Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness.

Ultrasound is among the most widely used imaging modalities in clinical trials, and yet its dependen...

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-Hodg...

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 lan...

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 ca...

Indispensable tools of critical care management: blood gas analyzers.

Blood gas analysis remains one of the most indispensable diagnostic tools in critical care, yet incr...

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 doc...

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 bu...

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

Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive ...

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 child...

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 regardin...

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 artifi...

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 ...

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 c...

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 ...

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 ear...

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 readine...