scholarly journals Abstract No. 578 Validating fluoroscopic time and dose as individual physician quality metrics for dose-intensive procedures

2019 ◽  
Vol 30 (3) ◽  
pp. S249-S250
Author(s):  
N. Keefe ◽  
V. Chandra ◽  
V. Rivera ◽  
Z. Haskal
2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
F Masseli ◽  
T Bostani ◽  
M Endlich ◽  
C Gestrich ◽  
D Sterner ◽  
...  

2016 ◽  
Vol 6 (7) ◽  
Author(s):  
Nancy E. Dunlap ◽  
◽  
David J. Ballard ◽  
Robert A. Cherry ◽  
Wm. Claiborne Dunagan ◽  
...  

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


Author(s):  
Filip Wierzbicki ◽  
Florian Schwarz ◽  
Odontsetseg Cannalonga ◽  
Robert Koer
Keyword(s):  

2021 ◽  
Vol 93 ◽  
pp. 116179
Author(s):  
Saeed Mahmoudpour ◽  
Peter Schelkens

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