Latest AI and machine learning research in pediatrics for healthcare professionals.
Artificial intelligence (AI) is increasingly shaping emergency musculoskeletal imaging, where rapid and accurate diagnosis is often challenged by high imaging volumes and time pressure. These constraints increase the risk of missed injuries and underscore the need for tools that support faster and reliable assessments. AI systems show promise in improving workflow efficiency by prioritizing urgent...
Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed online is therefore important for anticipating potential reactions-such as acceptance or hesitancy-toward vaccines that may be deployed in future outbreaks. This study examines public perceptions of the medium-term side effects of COVID-19 vaccines ...
The integration of artificial intelligence into pathology is transforming the assessment of histological and immunohistochemical (IHC) slides, offerin...
Data mining is the systematic process of extracting useful knowledge from large multimodal datasets and is increasingly enabled by artificial intellig...
Artificial intelligence (AI) is rapidly transforming many areas of medicine. Pediatric nephrology may be a field of particular relevance due to its da...
Artificial intelligence (AI) is transforming patient care, but it also raises ethical questions, such as bias and transparency. While a range of well-...
OBJECTIVE: Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fatal for neonates. Machine learning (ML) models dem...
AIM: To compare healthcare utilization and spending among women enrolled in an employer-sponsored, artificial intelligence (AI) structured pelvic care...
Pediatric imaging presents distinct and urgent sustainability challenges, in part driven by its unique subspecialty demands: safeguarding the lifetime...
Despite notable progress in understanding the pediatric dental caries area, its multifactorial etiology-including biofilm dynamics, dietary habits, ho...
INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in heal...
Mathematical modeling has become an indispensable tool for understanding, predicting, and controlling the spread of infectious diseases. Over the year...
OBJECTIVE: To compare 10 °C static cold storage (SCS) with traditional ice for cardiac allograft preservation, its impact on post-transplant outcomes,...
BACKGROUND: Pediatric bipolar disorder(BD) is difficult to distinguish from other psychiatric disorders, a challenge which can result in delayed or in...
Problematic use of social media (PUSM) is a major public health concern estimated to affect 35% of adolescents. However, data-driven research to ident...
Small cell lung cancer (SCLC) is known for its rapid growth and early metastasis, and SCLC patients are highly susceptible to chemoresistance. Studies...
Artificial light at night (ALAN) has been classified as a significant environmental endocrine disruptor. Excessive exposure to ALAN has associated wit...
BACKGROUND: Prostate cancer (PCa) is one of the most common cancer in men worldwide, while numerous scientific achievements have been made in research...
BACKGROUND: Artificial intelligence (AI) is a topic of considerable hype, with many actors sensing its high potential for health care applications. De...
This study was conducted to determine pediatric nurses' views on the use of artificial intelligence-supported social robots in pediatric clinics. An e...