In Monatsschrift Kinderheilkunde : Organ der Deutschen Gesellschaft fur Kinderheilkunde
Radiology is characterized by constant change and is defined by technological progress. Artificial intelligence (AI) will change all aspects of practical work in pediatric radiology in the future. Image acquisition, diagnosis recognition and segmentation as well as the recognition of tissue properties and their combination with big data will be the main areas of application in radiology. Higher effectiveness, acceleration of investigations and making the diagnosis as well as cost savings are expectations associated with the use of AI. Improved patient management, easier work for radiology assistants and pediatric radiologists as well as faster examination and diagnosis times mark the milestones of AI development in radiology. From appointment communication and device control to treatment recommendations and monitoring, the daily life will be changed by elements of AI. Pediatric radiologists must therefore be informed about the basics of AI and work together with data scientists in establishing and using AI elements.
Big data, Computer assisted diagnosis, Convolutional neural network, Machine learning, Pediatric radiology