Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND AND OBJECTIVES: Access to specialty surgical care is growing in many low-income countries...
AIMS: Ultrasound is a highly sensitive method to detect developmental dysplasia of the hip (DDH). Ho...
AIM: This study aimed to examine the relationship between nursing students' attitudes toward artific...
Sepsis-associated encephalopathy (SAE) is common in the intensive care unit (ICU) and portends worse...
BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...
Artificial intelligence (AI) embedded in point-of-care ultrasound (POCUS) could reduce operator depe...
To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac int...
As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent ...
BACKGROUND: Clinical decision support (CDS) systems have been widely adopted in health care to enhan...
BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide w...
This study aims to synthesize the perceptions and expectations of long-term caregivers regarding the...
As healthcare accelerates into an era defined by artificial intelligence, precision medicine, and ad...
PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a pr...
BACKGROUND: Generative artificial intelligence (GAI) has emerged as a transformative tool in health ...
BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged a...
BACKGROUND: Despite the growing body of studies focusing on the development of artificial intelligen...
AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported sim...
Age-associated dysbiosis, marked by shifts in the composition of gut microbiota and gut microbiota-d...