Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: While artificial intelligence's (AI's) transformative potential in health care is widely acknowledged, its application in highly sensitive, humanistic domains like pediatric palliative care (PPC) remains largely unexplored. OBJECTIVE: This study aims to explore the attitudes and needs of health care providers on the PPC assisted by AI, with the goal of informing future development and ...
BACKGROUND: Operating room (OR)-to-intensive care unit (ICU) handoffs are among the most complex and high-risk communication events in perioperative care. Despite the implementation of structured checklists, trainees often receive limited feedback on their communication skills, and simulation-based education rarely provides objective data on communication performance and checklist adherence. This ...
BACKGROUND: Health problems associated with energy metabolism imbalance have received increasing attention. Our team was the first to propose the conc...
Medical image segmentation is one of the most important processes in computer-aided diagnosis. It plays a critical role in detecting and analyzing dis...
Digital medical images of pediatric orthopedic diseases are widely exchanged and transmitted on medical sharing platforms for medical usage. However, ...
OBJECTIVES: Recruitment maneuvers (RMs) during invasive mechanical ventilation (IMV) for acute hypoxemic respiratory failure are not characterized in ...
This three-wave longitudinal study aimed to examine how medical artificial intelligence (AI) readiness impacts general well-being among nurses, focusi...
Technological innovation drives high-quality economic development, and artificial intelligence (AI) represents a new impetus for developing productive...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, leading to adverse maternal and neonatal outcomes. Ex...
BACKGROUND: Gestational anemia significantly elevates the risk of adverse maternal and neonatal outcomes, necessitating early predictive tools for tar...
BACKGROUND: Bronchopulmonary dysplasia (BPD) remains a major complication of extreme prematurity, but diagnosis and severity classification have becom...
OBJECTIVES: To use patient characteristics to estimate individualized treatment effects (ITE) of hypothermia vs. normothermia after pediatric cardiac ...
BACKGROUND: Cervical cancer is the fourth most common cancer whose incidence was significantly reduced with the help of Pap smear and organized cervic...
Adverse birth outcomes (ABOs), including preterm birth, low birth weight, low Apgar scores, and neonatal mortality, remain major public health challen...
We introduce a systems-level approach to sensing and computing in which Escherichia coli acts as a living reservoir computer, performing complex infor...
Advances in fetal diagnosis and therapy have created a need for clinicians with expertise spanning prenatal assessment and neonatal care. Current mate...
Adolescent idiopathic scoliosis (AIS) surgery requires precise fusion segment selection and reliable prediction of postoperative alignment, yet curren...
BACKGROUND: Metabolic-bariatric surgery is an efficient therapy in selected adolescents with severe obesity. However, predicting the postoperative wei...
Characterizing associations between individual differences in brain activity and behavior remains a primary challenge in functional neuroimaging resea...
Human newborns are able to discriminate between certain languages but not others. This ability has long been attributed to sensitivity to rhythm-the t...