Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm

Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm

Abstract Background To initiate the development of a machine learning algorithm capable of comparing segments of pre and post pamidronate whole body MRI scans to assess treatment response and to compare the results of this algorithm with the analysis of a panel of paediatric radiologists. Methods Wh...

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Bibliographic Details
Main Authors: Chandrika S. Bhat, Mark Chopra, Savvas Andronikou, Suvadip Paul, Zach Wener-Fligner, Anna Merkoulovitch, Izidora Holjar-Erlic, Flavia Menegotto, Ewan Simpson, David Grier, Athimalaipet V. Ramanan
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Pediatric Rheumatology Online Journal
Subjects:
Whole body MRI
Pre- and post-pamidronate scan
Artificial intelligence
Online Access:http://link.springer.com/article/10.1186/s12969-020-00442-9

Internet

http://link.springer.com/article/10.1186/s12969-020-00442-9

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