Ausgabe 11/2022
Special issue on Artificial Intelligence in Pediatric Radiology
Inhalt (19 Artikel)
Introduction to the artificial intelligence in pediatric radiology imaging special issue
Amaka C. Offiah, Safwan Halabi
The current and future roles of artificial intelligence in pediatric radiology
Jeffrey P. Otjen, Michael M. Moore, Erin K. Romberg, Francisco A. Perez, Ramesh S. Iyer
The augmented radiologist: artificial intelligence in the practice of radiology
Erich Sorantin, Michael G. Grasser, Ariane Hemmelmayr, Sebastian Tschauner, Franko Hrzic, Veronika Weiss, Jana Lacekova, Andreas Holzinger
How does artificial intelligence in radiology improve efficiency and health outcomes?
Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, Matthieu J. C. M. Rutten
The requirements for performing artificial-intelligence-related research and model development
Anuj Pareek, Matthew P. Lungren, Safwan S. Halabi
Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know
Riwa Meshaka, Daniel Pinto Dos Santos, Owen J. Arthurs, Neil J. Sebire, Susan C. Shelmerdine
Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence
Suranna R. Monah, Matthias W. Wagner, Asthik Biswas, Farzad Khalvati, Lauren E. Erdman, Afsaneh Amirabadi, Logi Vidarsson, Melissa D. McCradden, Birgit B. Ertl-Wagner
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
Steven Schalekamp, Willemijn M. Klein, Kicky G. van Leeuwen
The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging
Andrew M. Taylor
Current and emerging artificial intelligence applications for pediatric abdominal imaging
Jonathan R. Dillman, Elan Somasundaram, Samuel L. Brady, Lili He
Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology
Amaka C. Offiah
The role of artificial intelligence in paediatric neuroradiology
Catherine Pringle, John-Paul Kilday, Ian Kamaly-Asl, Stavros Michael Stivaros
Current and emerging artificial intelligence applications for pediatric interventional radiology
Sudhen B. Desai, Anuj Pareek, Matthew P. Lungren
A comparison of bone age assessments using automated and manual methods in children of Indian ethnicity
Chirantap Oza, Anuradha V. Khadilkar, Shruti Mondkar, Ketan Gondhalekar, Arnav Ladkat, Nikhil Shah, Nikhil Lohiya, Hemchand Krishna Prasad, Prashant Patil, Madhura Karguppikar, Ankita Maheshwari, Dipali Ladkat, Neha Kajale, Pranay Goel, Vaman Khadilkar
Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement
Min Jong Kim, Young Hun Choi, Seul Bi Lee, Yeon Jin Cho, Seung Hyun Lee, Chang Ho Shin, Su-Mi Shin, Jung-Eun Cheon
Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating
Andy Tsai, P. Ellen Grant, Simon K. Warfield, Yangming Ou, Paul K. Kleinman
Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists
Toan Nguyen, Richard Maarek, Anne-Laure Hermann, Amina Kammoun, Antoine Marchi, Mohamed R. Khelifi-Touhami, Mégane Collin, Aliénor Jaillard, Andrew J. Kompel, Daichi Hayashi, Ali Guermazi, Hubert Ducou Le Pointe
A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data
Redha Ali, Hailong Li, Jonathan R. Dillman, Mekibib Altaye, Hui Wang, Nehal A. Parikh, Lili He