Attitudes Toward Artificial Intelligence Among Radiologists, IT Specialists, and Industry

Author:

Jungmann Florian,Jorg Tobias,Hahn FelixORCID,Pinto dos Santos DanielORCID,Jungmann Stefanie Maria,Düber Christoph,Mildenberger Peter,Kloeckner RomanORCID

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference23 articles.

1. High-performance medicine: the convergence of human and artificial intelligence;Topol;Nat Med,2019

2. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis;Liu;The Lancet Digital Health,2019

3. International evaluation of an AI system for breast cancer screening;McKinney;Nature,2020

4. Rajpurkar P, Irvin J, Zhu K, et al. CheXNet: radiologist-level pneumonia detection on chest x-rays with deep learning. arXiv:1711.05225 [cs.CV].

5. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration;Arbabshirani;NPJ Digit Med,2018

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