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AI applications in pediatric and neonatal medicine
Overview
Recent developments highlight the integration of artificial intelligence to enhance specialized medical care for children and infants. In Italy, the INFANT project, led by Professor Aniello Murano at the Federico II University of Naples, is developing a national platform to streamline diagnostic and therapeutic processes for pediatric oncology patients aged 0 to 17.
The project focuses on data mobility to allow children to receive care closer to home, aiming to reduce the physical and emotional stress of travel while optimizing hospital resources.
Concurrently, an international research team has successfully adapted an AI X-ray model, originally intended for adults, for use in neonatal care. By employing a ‘continual learning’ method across 30 neonatal intensive care units in 20 countries, researchers trained the model on local datasets without centralizing sensitive information. This adaptation specifically improves the monitoring of endotracheal tube placement in chest X-rays, which is vital for the safety of ventilated newborns.
Entities
INFANT project · Aniello Murano · Federico II University of Naples · Nature Biomedical Engineering
Timeline
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[TECHNOLOGY] 2 sourcesAI X-ray model successfully adapted for neonatal care
Researchers have successfully adapted an adult-trained AI X-ray model for neonatal use through continual learning, improving the accuracy of endotracheal tube placement monitoring in newborns.
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[HEALTH] 2 sourcesINFANT project uses AI to improve pediatric oncology care in Italy
The INFANT project in Naples uses AI to revolutionize pediatric oncology by creating a national platform that reduces the need for children to travel long distances for diagnosis and treatment.
Sources
aend.de · emmepress.com · mednic.de · nonsprecare.it