Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Electronic health record (EHR) documentation contributes to clinician burnout, yet evide...
OBJECTIVES: Pelvic bones exhibit multiple secondary ossification centers during maturation, enabling...
Developing a safe and effective HIV-1 vaccine remains the cornerstone of global efforts to terminate...
Cervical cancer remains a leading cause of cancer-related mortality among women globally, with persi...
The rapidly global deployment of COVID-19 mRNA-LNP vaccines established the clinical feasibility of ...
PURPOSE OF REVIEW: Recent advances in the power, utility, and accessibility of artificial intelligen...
Human gestation is characterized by dynamic changes in maternal physiology and maturation of tissue ...
This study uses an artificial neural network (ANN) architecture in combination with the Levenberg-Ma...
Here we present MassNet, inspired by large-scale data corpora of text and images; MassNet is an arti...
Accurate preoperative differentiation of pediatric acute appendicitis subtypes is relevant to treatm...
Raman spectroscopy is a promising tool for microbial identification, yet its implementation in micro...
The integration of artificial intelligence (AI) into digital media and health information ecosystems...
Neural tube defects (NTDs) are the most severe congenital malformations of the central nervous syste...
Hybrid molecular imaging is increasingly recognized as a valuable tool for the precision management ...
BACKGROUND: The past decade has been marked by the progressive integration of artificial intelligenc...
Norovirus, which is extremely contagious and has a significant impact on the gastrointestinal tract,...
Hypertensive disorders of pregnancy (HDP) encompass chronic hypertension, gestational hypertension, ...
BACKGROUND: Large language models (LLMs) could assist in streamlining health care instrument validat...
BACKGROUND: Purpose-built AI well-being tools-designed with clinical safeguards for everyday emotion...
Despite growing clinical adoption of artificial intelligence in radiology, fewer than one in five co...
General-purpose multimodal artificial intelligence (AI) models can interpret radiographs through nat...