Artificial Intelligence and Magnetic Resonance Imaging May Not Make Cancer Screening Better

2021 ◽  
pp. 100314
Author(s):  
Kerrington Powell ◽  
Myung S. Kim ◽  
Alyson Haslam ◽  
Vinay Prasad
Keyword(s):  
Magnetic Resonance Imaging ◽  
Artificial Intelligence ◽  
Cancer Screening ◽  
Magnetic Resonance ◽  
Resonance Imaging

scholarly journals The Use of Artificial Intelligence in the Evaluation of Knee Pathology

2020 ◽  
Vol 24 (01) ◽  
pp. 021-029 ◽  
Author(s):  
Elisabeth R. Garwood ◽  
Ryan Tai ◽  
Ganesh Joshi ◽  
George J. Watts V
Keyword(s):  
Magnetic Resonance Imaging ◽  
Artificial Intelligence ◽  
Magnetic Resonance ◽  
Knee Osteoarthritis ◽  
Bone Tumors ◽  
Quantitative Assessment ◽  
Tendon Healing ◽  
Meniscal Tears ◽  
Resonance Imaging ◽  
Knee Pathology

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.

A Pilot Study to Evaluate the Role of Magnetic Resonance Imaging for Prostate Cancer Screening in the General Population

2016 ◽  
Vol 196 (2) ◽  
pp. 361-366 ◽  
Author(s):  
Robert K. Nam ◽  
Christopher J.D. Wallis ◽  
Jessica Stojcic-Bendavid ◽  
Laurent Milot ◽  
Christopher Sherman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Cancer Screening ◽  
Pilot Study ◽  
Magnetic Resonance ◽  
General Population ◽  
Prostate Cancer Screening ◽  
Resonance Imaging
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