scholarly journals Emerging artificial intelligence applications in liver magnetic resonance imaging

2021 ◽  
Vol 27 (40) ◽  
pp. 6825-6843
Author(s):  
Charles E Hill ◽  
Luca Biasiolli ◽  
Matthew D Robson ◽  
Vicente Grau ◽  
Michael Pavlides
2020 ◽  
Vol 24 (01) ◽  
pp. 021-029 ◽  
Author(s):  
Elisabeth R. Garwood ◽  
Ryan Tai ◽  
Ganesh Joshi ◽  
George J. Watts V

AbstractArtificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We have only just begun to explore AI applications in the diagnostic evaluation of knee pathology. Experimental algorithms have already been developed that can assess the severity of knee osteoarthritis from radiographs, detect and classify cartilage lesions, meniscal tears, and ligament tears on magnetic resonance imaging, provide automatic quantitative assessment of tendon healing, detect fractures on radiographs, and predict those at highest risk for recurrent bone tumors. This article reviews and summarizes the most current literature.


2019 ◽  
Vol 9 (11) ◽  
pp. 1840-1890 ◽  
Author(s):  
Yì Xiáng J. Wáng ◽  
Xiaoqi Wang ◽  
Peng Wu ◽  
Yajie Wang ◽  
Weibo Chen ◽  
...  

2004 ◽  
Vol 20 (2) ◽  
pp. 242-249 ◽  
Author(s):  
Masayuki Kanematsu ◽  
Maria I. Danet ◽  
Polytimi Leonardou ◽  
Maria Mastropasqua ◽  
Maria A. Mosetti ◽  
...  

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