AIMC Topic: Pediatrics

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Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.

Studies in health technology and informatics
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...

Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review.

Cancer medicine
BACKGROUND: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for ad...

AI-Assisted Application for Pediatric Drug Dosing.

Studies in health technology and informatics
Technology in the medical field is continuously advancing due to its numerous subdomains and the ever-growing medical needs of people. Information systems have become integral to doctors' daily routines in patient care, offering flexibility and suppo...

Large Language Models in Pediatric Education: Current Uses and Future Potential.

Pediatrics
Generative artificial intelligence, especially large language models (LLMs), has the potential to affect every level of pediatric education and training. Demonstrating speed and adaptability, LLMs can aid educators, trainees, and practicing pediatric...

Comprehensive Overview of Computational Modeling and Artificial Intelligence in Pediatric Neurosurgery.

Advances in experimental medicine and biology
In this chapter, we give an overview of artificial intelligence tools and their use thus far in pediatric neurosurgery. We discuss different machine learning algorithms from a data-driven approach in order to guide clinicians and scientists as they a...