| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating the Translation of Artificial Intelligence From Ideas to Routine Clinical Workflow
|
Lin, MingDe
|
|
|
27 |
1 |
p. 121-122
|
artikel
|
| 2 |
A Review of Perceptual Expertise in Radiology-How it develops, How we can test it, and Why humans still matter in the era of Artificial Intelligence
|
Waite, Stephen
|
|
|
27 |
1 |
p. 26-38
|
artikel
|
| 3 |
Artificial Intelligence in Medicine: Where Are We Now?
|
Kulkarni, Sagar
|
|
|
27 |
1 |
p. 62-70
|
artikel
|
| 4 |
Artificial Intelligence in Radiology: Some Ethical Considerations for Radiologists and Algorithm Developers
|
Mazurowski, Maciej A.
|
|
|
27 |
1 |
p. 127-129
|
artikel
|
| 5 |
Artificial Intelligence in Radiology: Summary of the AUR Academic Radiology and Industry Leaders Roundtable
|
Chan, Stephen
|
|
|
27 |
1 |
p. 117-120
|
artikel
|
| 6 |
Artificial Intelligence in Radiology––The State of the Future
|
Jha, Saurabh
|
|
|
27 |
1 |
p. 1-2
|
artikel
|
| 7 |
Artificial Intelligence, Radiology, and Tuberculosis: A Review
|
Kulkarni, Sagar
|
|
|
27 |
1 |
p. 71-75
|
artikel
|
| 8 |
Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence
|
Do, Huy M.
|
|
|
27 |
1 |
p. 96-105
|
artikel
|
| 9 |
Automation and Radiology—Part 1
|
Jha, Saurabh
|
|
|
27 |
1 |
p. 147-149
|
artikel
|
| 10 |
Automation and Radiology—Part 2
|
Jha, Saurabh
|
|
|
27 |
1 |
p. 150-152
|
artikel
|
| 11 |
Breast Cancer Radiogenomics: Current Status and Future Directions
|
Grimm, Lars J.
|
|
|
27 |
1 |
p. 39-46
|
artikel
|
| 12 |
Data as the New Currency—How Open Source Toolkits Have Made Labeled Data the Core Value in the AI Marketplace
|
Moulik, Supratik
|
|
|
27 |
1 |
p. 140-142
|
artikel
|
| 13 |
Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics
|
Higaki, Toru
|
|
|
27 |
1 |
p. 82-87
|
artikel
|
| 14 |
Essential Elements of Natural Language Processing: What the Radiologist Should Know
|
Chen, Po-Hao
|
|
|
27 |
1 |
p. 6-12
|
artikel
|
| 15 |
Exploring Large-scale Public Medical Image Datasets
|
Oakden-Rayner, Luke
|
|
|
27 |
1 |
p. 106-112
|
artikel
|
| 16 |
How the FDA Regulates AI
|
Harvey, H. Benjamin
|
|
|
27 |
1 |
p. 58-61
|
artikel
|
| 17 |
Impact of the Artificial Nudge
|
Powell, Adam C.
|
|
|
27 |
1 |
p. 143-146
|
artikel
|
| 18 |
Machine Learning Principles for Radiology Investigators
|
Borstelmann, Stephen M.
|
|
|
27 |
1 |
p. 13-25
|
artikel
|
| 19 |
Medical Image Analysis: Human and Machine
|
Bryan, Robert Nick
|
|
|
27 |
1 |
p. 76-81
|
artikel
|
| 20 |
School of Block–Review of Blockchain for the Radiologists
|
Abdullah, Selwan
|
|
|
27 |
1 |
p. 47-57
|
artikel
|
| 21 |
Teleradiology and Artificial Intelligence – Birds of the Same Feather
|
Kalyanpur, Arjun
|
|
|
27 |
1 |
p. 123-126
|
artikel
|
| 22 |
The Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms—How We Do It
|
Mahajan, Vidur
|
|
|
27 |
1 |
p. 132-135
|
artikel
|
| 23 |
The Artificial Intelligence Journal Club (#RADAIJC): A Multi-Institutional Resident-Driven Web-Based Educational Initiative
|
Balthazar, Patricia
|
|
|
27 |
1 |
p. 136-139
|
artikel
|
| 24 |
The Economics of Automation
|
Jha, Saurabh
|
|
|
27 |
1 |
p. 3-5
|
artikel
|
| 25 |
The Importance of Imaging Informatics and Informaticists in the Implementation of AI
|
Cook, Tessa S.
|
|
|
27 |
1 |
p. 113-116
|
artikel
|
| 26 |
The International Skeletal Society: A Potential Model for Radiology and Pathology Collaboration
|
White, Lawrence M.
|
|
|
27 |
1 |
p. 130-131
|
artikel
|
| 27 |
Unboxing AI - Radiological Insights Into a Deep Neural Network for Lung Nodule Characterization
|
Venugopal, Vasantha Kumar
|
|
|
27 |
1 |
p. 88-95
|
artikel
|
| 28 |
Value of Triage by Artificial Intelligence
|
Jha, Saurabh
|
|
|
27 |
1 |
p. 153-155
|
artikel
|
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