Latest AI and machine learning research in pediatrics for healthcare professionals.
The bicuspid aortic valve (BAV) is the most prevalent congenital heart defect and may require surg...
Modern social media platforms, such as TikTok, Facebook, and YouTube, rely on recommendation syste...
Bias and inequity in palliative care disproportionately affect marginalised groups. Large language...
Early prediction of pediatric cardiac arrest (CA) is critical for timely intervention in high-risk...
In many pediatric fMRI studies, cardiac signals are often missing or of poor quality. A tool to ex...
Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have ...
Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Revi...
The rapid evolution of large language models (LLMs) has transformed human-computer interaction (HC...
Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. ...
Thematic Analysis (TA) is a fundamental method in healthcare research for analyzing transcript dat...
PURPOSE: The purpose of this study was to develop an artificial intelligence (AI)-based intraocular ...
STUDY OBJECTIVES: U-Sleep is a publicly available automated sleep stager, but has not been independe...
STUDY OBJECTIVES: Despite frequent sleep disruption in the pediatric intensive care unit, bedside sl...
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based c...
BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defec...
OBJECTIVE: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pedi...
BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health a...
BACKGROUND: Lhermitte's sign (LS) is an important clinical marker for patients with multiple scleros...
Background Incomplete clinical histories are a well-known problem in radiology. Previous dedicated q...
Developing new methods for the automated analysis of clinical fetal and neonatal MRI data is limit...
This study presents a narrative review of the use of digital health technologies (DHTs) and artifi...