Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide within the nursing profession. Despite being one of the most trusted and essential health care roles, nurses face disproportionately high risks for psychological distress, moral injury, and suicide. AIMS: The paper aims to synthesize existing evidence on prevalence, risk factors, and theoretical fram...
This study aims to synthesize the perceptions and expectations of long-term caregivers regarding the use of nursing robots to inform strategies for en...
As healthcare accelerates into an era defined by artificial intelligence, precision medicine, and advanced technologies, nursing leadership faces a cr...
PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a predictive, personalized approach. This review exami...
BACKGROUND: Generative artificial intelligence (GAI) has emerged as a transformative tool in health care, particularly with the integration of large l...
BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged as a critical public health priority. An increasing...
BACKGROUND: Despite the growing body of studies focusing on the development of artificial intelligence literacy in higher education, the status of AI ...
AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported simulation in improving nursing students' breast self...
Age-associated dysbiosis, marked by shifts in the composition of gut microbiota and gut microbiota-derived metabolites (GMDMs), is increasingly implic...
BACKGROUND: Moral distress is increasingly recognized as a critical challenge in critical care settings, where nurses frequently encounter ethically c...
AIM: To synthesize literature on algorithmic bias and transparency in artificial intelligence tools used in nursing education and identify common appl...
Nurses have expressed a growing interest in artificial intelligence (AI), but automation tools remain underutilized to address key challenges like nur...
OBJECTIVES: To assess healthcare professionals' attitudes toward artificial intelligence (AI) in healthcare and to identify personal and professional ...
BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinic...
The monitoring of daily life in nursing home residents generates diverse and heterogeneous sources of information. Artificial Intelligence (AI) is inc...
BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays, increased postdischarge complications, and reduc...
Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated documentation, and predictive analytics now integr...
This narrative review examines artificial intelligence (AI) applications in airway management through a structured literature search completed in July...