Artificial Intelligence in Radiology: Radiologist's Adversary or Comrade?
Overview
Overview
Authors
Authors
Affiliations
Affiliations
Soon will be listed here.
References
1.
Thrall J, Li X, Li Q, Cruz C, Do S, Dreyer K
. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success. J Am Coll Radiol. 2018; 15(3 Pt B):504-508.
DOI: 10.1016/j.jacr.2017.12.026.
View
2.
Mello-Thoms C, Mello C
. Clinical applications of artificial intelligence in radiology. Br J Radiol. 2023; 96(1150):20221031.
PMC: 10546456.
DOI: 10.1259/bjr.20221031.
View
3.
Recht M, Bryan R
. Artificial Intelligence: Threat or Boon to Radiologists?. J Am Coll Radiol. 2017; 14(11):1476-1480.
DOI: 10.1016/j.jacr.2017.07.007.
View
4.
Aggarwal R, Sounderajah V, Martin G, Ting D, Karthikesalingam A, King D
. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. NPJ Digit Med. 2021; 4(1):65.
PMC: 8027892.
DOI: 10.1038/s41746-021-00438-z.
View
5.
Chockley K, Emanuel E
. The End of Radiology? Three Threats to the Future Practice of Radiology. J Am Coll Radiol. 2016; 13(12 Pt A):1415-1420.
DOI: 10.1016/j.jacr.2016.07.010.
View