Latest AI and machine learning research in pediatrics for healthcare professionals.
The July release of Kimi K3, an open-weight frontier AI model, is the latest milestone in the heated competition between AI developers in China and the United States. In this News and Perspectives article, JMIR Correspondent Tejas S Athni reports on how health care systems in the United States may benefit from the race to develop frontier AI.
BACKGROUND: Peer-reviewed medical literature consistently violates established health literacy readability targets, creating a gap that effectively excludes patients and caregivers from accessing evidence-based information. OBJECTIVE: This study aimed to evaluate whether a large language model (LLM) can generate plain-language summaries of pediatric strabismus literature while preserving clinical ...
Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More standardized and data-driven approaches are needed...
PURPOSE: This study aims to forecast future trends and quantify the contributions of key determinants, extending current evidence for tailored interve...
The high-altitude and unique climatic conditions of Tibet can have a significant impact on the growth and development of local children and adolescent...
Bacterial infections represent a critical threat to neonatal health, accounting for approximately 25% of neonatal mortality globally. Timely and preci...
BACKGROUND: The increasing global prevalence of pediatric myopia has led to the widespread use of atropine for myopia control. Despite its proven effi...
BACKGROUND: AI has the potential to transform health care in low- and middle-income countries, where access to quality care remains limited. Maternal,...
BACKGROUND: Widespread and sustained uptake of AI-based clinical decision support systems (CDSSs) in real-world health care settings is uncommon, desp...
BACKGROUND: Foster care supervisors require advanced reflective functioning (RF) to manage complex relational demands, yet traditional training is dif...
Pain management remains a significant challenge in pediatric care, where pain is frequently under-assessed and undertreated. Artificial intelligence i...
BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions in pediatric obesity, outcomes remain variable be...
PURPOSE OF REVIEW: Artificial intelligence applied to electrocardiography (AI-ECG) has rapidly been investigated in adult cardiovascular medicine, yet...
INTRODUCTION: Nursing care plans are fundamental learning tools for assessing students' clinical judgment, yet documentation quality is influenced by ...
Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently low immunization coverage, remains dangerously vuln...
BACKGROUND AND OBJECTIVES: Machine learning (ML) and natural language processing (NLP) approaches are increasingly used to support nuanced phenotyping...
One-year-old infants rapidly form and generalize categories from idiosyncratic experiences of very few exemplars of those categories. Here we provide ...
Left ventricle (LV) segmentation in echocardiography is crucial for the assessment of cardiac function and the diagnosis of cardiovascular disease. In...
BACKGROUND: Advance care planning (ACP) involves proactive communication about end-of-life care preferences among patients, families, and health care ...