Latest AI and machine learning research in pediatrics for healthcare professionals.
Extended reality (XR) technologies have made remarkable progress and been widely applied in orthopedic surgical education, offering a valuable and innovative pathway for traditional surgical training paradigms. Current reviews have not yet systematically synthesized the multimodal XR application landscape and emerging artificial intelligence (AI)-enabled adaptive tutoring technologies, making a co...
AIM: To examine how artificial intelligence (AI) influences the definition, enactment and preservation of person-centred fundamental care in healthcare contexts, and to develop a complementary framework that positions care as a design constraint. DESIGN: Theoretically informed case analysis. This approach uses a bounded case as a site for developing theoretical propositions rather than for inducti...
BackgroundSuspected acute appendicitis is difficult to triage in atypical presentations, including pediatric and geriatric cases and scenarios with mu...
BACKGROUND: Breastfeeding provides nutrients and bioactive components relevant to infant development, but observational associations with brain outcom...
More than six decades ago, the first successful repair of a congenital heart defect opened a new frontier in pediatric medicine. Driven by advances in...
The rapid growth of monoclonal antibody (mAb) therapies has increased the need for efficient, scalable, and affordable manufacturing processes. Howeve...
BACKGROUND: Digital health technologies are increasingly applied in diabetes care, enabling continuous monitoring, personalized support and remote int...
OBJECTIVES: A bibliometric analysis of the evolution of robotic applications in oral, maxillofacial, and head and neck surgeries was conducted, and re...
BACKGROUND AND OBJECTIVES: Nail unit melanoma (NUM) is a rare but potentially fatal malignancy often misdiagnosed as melanonychia. Because biopsy may ...
As Academic Medicine marks its centennial, academic medical centers (AMCs) face a defining inflection point driven by the convergence of generative ar...
AIMS: To examine how artificial intelligence (AI) reconfigures the conditions under which sexual health is recognized, articulated, and addressed in c...
BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...
PURPOSE: Childhood accidents are among the leading causes of injury during early childhood. This study aimed to evaluate and compare the accuracy, cla...
BACKGROUND: Ambient artificial intelligence scribes (AI scribes) are emerging as tools to optimize clinical documentation, although the need persists ...
Interpretation of Electrocardiogramms (ECG) is increasingly complemented by algorithms. These algorithms are based on large datasets. Here we pre...
Artificial Intelligence (AI) bears potential for improving health care, but this depends on the availability of open-access, realistic, and useful dat...
OBJECTIVES: The diagnosis of Wilson disease (WD) is complicated by heterogeneous clinical phenotypes and inadequate performance of routine biomarkers....
OBJECTIVES: To evaluate the efficiency and reliability of a large language model (LLM) as a decision-support tool in hospital compounding pharmacy for...
Artificial intelligence (AI) is rapidly transforming medical imaging, offering unprecedented opportunities to enhance diagnostic accuracy, streamline ...
BACKGROUND: High-dose methotrexate (HD-MTX) is essential for pediatric acute lymphoblastic leukemia (ALL) but frequently causes hepatotoxicity. To add...