Nursing

Investigation of the relationship between medical artificial intelligence readiness and individual innovativeness levels in nursing students.

AIM: This study was conducted to identify nursing students' medical artificial intelligence readiness and individual innovativeness levels, to examine the relationship between these two concepts and to determine the variables that create a significant difference.

The role of artificial intelligence in shaping nursing education: A comprehensive systematic review.

AIM: This systematic review assesses AI's application, effectiveness and impact on nursing education, while identifying research limitations.

[How older people are learning through artificial intelligence-assisted health technologies : Cute seals and nervous fall sensors].

BACKGROUND: With the growing use of artificial intelligence (AI) in various areas of life, AI technologies are increasingly being developed for the nu...

Primary Care Providers Acceptance of Generative AI Responses to Patient Portal Messages.

BACKGROUND: Patient portals bridge patient and provider communications but exacerbate physician and nursing burnout. Large language models (LLMs) can ...

Artificial intelligence in nursing: A journey from data to wisdom.

Artificial intelligence (AI) can enhance nursing practice by assisting in clinical decisions, patient outcomes, and operational efficiencies. This art...

The good, the bad, and the binary: Ethical impact of AI on nursing practice.

Artificial intelligence (AI) promises significant advancements in patient care, burden reduction, and nursing efficiency. This article examines the mu...

Using Machine Learning to Identify Social Determinants of Health that Impact Discharge Disposition for Hospitalized Patients.

OBJECTIVE: To identify self-reported social determinants of health (SDOH) among hospitalized patients that predict discharge to a skilled nursing faci...

Artificial Intelligence-Guided Bronchoscopy is Superior to Human Expert Instruction for the Performance of Critical-Care Physicians: A Randomized Controlled Trial.

OBJECTIVES: Bronchoscopy in the mechanically ventilated patient is an important skill for critical-care physicians. However, training opportunity is h...

A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning.

Physicians evaluate a patient's respiratory health during a physical examination by visual assessment of the work of breathing (WoB) to determine resp...

Redefining pedagogy with artificial intelligence: How nursing students are shaping the future of learning.

AIM: This study aimed to explore the factors influencing undergraduate nursing students' use of artificial intelligence (AI) tools in their studies, e...

Awareness of the Role of Artificial Intelligence in Health Care among Undergraduate Nursing Students: A Descriptive Cross-Ssectional Study.

BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize healthcare by improving efficiency and reducing errors; however, challenge...

Continuous nursing symptom management in cancer chemotherapy patients using deep learning.

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-rand...

Comparison of an AI Chatbot With a Nurse Hotline in Reducing Anxiety and Depression Levels in the General Population: Pilot Randomized Controlled Trial.

BACKGROUND: Artificial intelligence (AI) chatbots have been customized to deliver on-demand support for people with mental health problems. However, t...

Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians.

BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuous viral illness, or posterior circulation stroke ...

Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study.

BACKGROUND: Unplanned readmissions increase unnecessary health care costs and reduce the quality of care. It is essential to plan the discharge care f...

Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre clinical study.

To evaluate the clinical performance and safety of the ONIRY system for obstetric anal sphincter injuries (OASI) detection versus three-dimensional en...

Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students.

Advances in artificial intelligence (AI) technologies have not been widely integrated into simulation education. This work examines the process of des...

Essential competencies of nurses working with AI-driven lifestyle monitoring in long-term care: A modified Delphi study.

BACKGROUND: As more and more older adults prefer to stay in their homes as they age, there's a need for technology to support this. A relevant technol...

Perceptions and Attitudes of Registered Nurses and Nursing Students Toward Advanced Technology and Artificial Intelligence: A Review of Literature.

The use of technology in healthcare and healthcare education settings has increased rapidly across the United States and accelerated due to the COVID-...

AI-Augmented Psychosocial Interventions: A Bibliometric Review and Implications for Nursing.

PURPOSE: To map out the current artificial intelligence (AI)-informed psychosocial interventions research landscape, with a focus on main themes, tren...