Latest AI and machine learning research in pediatrics for healthcare professionals.
This study evaluated parent perceptions during outpatient pediatric medical visits with presence of medical scribes (virtual or in-person) or no scribe. A national, cross-sectional online survey was completed by 2148 parents of children 0 to 17 years. Parents reported higher visit satisfaction if they were informed of scribe presence (P = .002) and, independently, if asked permission for the provi...
BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap for pediatric patients. Intracranial hemorrhage (ICH) detection is a common adult AI application without pediatric FDA clearance. OBJECTIVE: To evaluate the performance of an FDA-cleared, adult-trained AI tool for ICH detection on non-contrast head ...
The digital twin (DT) concept, originating from engineering disciplines, has emerged as a transformative technology in healthcare, particularly in onc...
PURPOSE: Developmental dysplasia of the hip (DDH) requires timely, guideline-concordant decisions to prevent long-term morbidity. ChatGPT-5.0 may supp...
BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to an...
Pre-eclampsia is a difficult pregnancy condition that causes high blood pressure and can lead to health complications in both mother and newborn, resu...
AIM: To characterize the clinical features, management, and outcomes of paediatric patients with status epilepticus, and to explore whether distinct c...
PURPOSE: Radiation-free tools, such as scoliometers, ultrasound, and Moiré topography, have been explored for monitoring Adolescent Idiopathic Scolios...
BACKGROUND: Venous thromboembolism (VTE) is a common and severe complication in intensive care unit (ICU) patients with sepsis. Conventional risk stra...
BACKGROUND: Major depressive disorder (MDD) and bipolar disorder (BD) are psychiatric disorders that seriously impact physical and mental health. They...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous syndrome with high mortality. Subphenotyping may identify more homogeneous g...
BACKGROUND: Pharmacotyping, the ex vivo measurement of tumor cell responses to drugs, is particularly important for cancers lacking actionable genomic...
OBJECTIVE: To investigate the feasibility of evaluating Imaging-Defined Risk Factors (IDRFs) in Neuroblastoma (NB) patients using venous-phase (VP)-on...
Accurate preoperative identification of true positive white matter pathways involved in critical eloquent functions such as motor, language, and visio...
OBJECTIVES: To compare image quality between low-dose thin-slice deep-learning reconstruction (DLR) and standard-dose thick-slice hybrid iterative rec...
Neuroblastoma is the most prevalent extracranial solid tumor in pediatric age populations worldwide and the most common neoplastic disease diagnosed i...
BACKGROUND: Sepsis constitutes a critical clinical condition characterized by organ failure and systemic inflammation, especially affecting children. ...
This study aimed to determine whether unsupervised machine learning can identify phenotypically distinct subgroups at increased risk for preeclampsia ...
The last years have seen an acceleration in the development and uptake of artificial intelligence (AI) systems by "early adopter" hospitals, caught be...
Large language models (LLMs), a type of artificial intelligence (AI), have been applied to various fields of dentistry in recent years. Although sever...