AIMC Topic: Pediatrics
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[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Aug 1, 2025
The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibilities, particularly in the prevention of chronic diseases. AI-powered applications such as machine learning for the analysis of speech or movement pa...
Machine learning-based approaches for distinguishing viral and bacterial pneumonia in paediatrics: A scoping review.
Computer methods and programs in biomedicine
Aug 1, 2025
BACKGROUND AND OBJECTIVE: Pneumonia is the leading cause of hospitalisation and mortality among children under five, particularly in low-resource settings. Accurate differentiation between viral and bacterial pneumonia is essential for guiding approp...
Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.
International journal of pediatric otorhinolaryngology
Jul 1, 2025
BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in enhancing diagnostics, treatment planning, and patient management. However, their application in pediatric otolaryngology remains limited as the uniqu...
Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Jul 1, 2025
OBJECTIVE: Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a tailored approach for patients and families. With artificial intelligence (AI) gaining traction in medical applications, this study evaluates the qua...
Digital Pathology and Artificial Intelligence in Pediatric Pathology.
Surgical pathology clinics
Jun 1, 2025
Applications of artificial intelligence (AI) and machine learning (ML) are rapidly developing to support the diagnosis and classification of pathology specimens. These tools rely on digitization of pathology glass slides as whole slide images, allowi...
Use of an Untrained Large Language Model for Antibiotic Prescription in Pediatric Infectious Diseases at Primary Care Settings: A Study From the Italian Society for Pediatric Infectious Diseases.
The Pediatric infectious disease journal
Jun 1, 2025
The development of artificial intelligence systems is revolutionizing many fields of medicine, but specific studies are still missing in pediatrics. In our study, we showed that an untrained free-to-use large language model provided reliable response...
The potential of artificial intelligence to transform medicine.
Current opinion in pediatrics
Jun 1, 2025
PURPOSE OF REVIEW: Increased incorporation of artificial intelligence in medicine has raised questions regarding how it can enhance efficiency in concert with providing accurate medical information without violating patient privacy. Pediatricians sho...
Comparative analysis of GPT-4 and Google Gemini's consistency with pediatric otolaryngology guidelines.
International journal of pediatric otorhinolaryngology
Jun 1, 2025
OBJECTIVE: To evaluate the accuracy and completeness of large language models (LLMs) in interpreting pediatric otolaryngology guidelines.
Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents' perspectives.
BMJ health & care informatics
May 21, 2025
OBJECTIVES: The aim of this study was to compare the performances of residents and ChatGPT in answering validated questions and assess paediatric surgery residents' acceptance, perceptions and readiness to integrate artificial intelligence (AI) into ...
What makes a 'good' decision with artificial intelligence? A grounded theory study in paediatric care.
BMJ evidence-based medicine
May 20, 2025
OBJECTIVE: To develop a framework for good clinical decision-making using machine learning (ML) models for interventional, patient-level decisions.
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