Noninterpretive uses of artificial intelligence in radiology

ML Richardson, ER Garwood, Y Lee, MD Li, HS Lo… - Academic …, 2021 - Elsevier
We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would
normally require intelligent action by a human. Much of the recent excitement about AI in the …

Artificial intelligence in diagnostic imaging: status quo, challenges, and future opportunities

P Sharma, M Suehling, T Flohr… - Journal of thoracic …, 2020 - journals.lww.com
In this review article, the current and future impact of artificial intelligence (AI) technologies
on diagnostic imaging is discussed, with a focus on cardio-thoracic applications. The …

Machine learning in medical imaging

ML Giger - Journal of the American College of Radiology, 2018 - Elsevier
Advances in both imaging and computers have synergistically led to a rapid rise in the
potential use of artificial intelligence in various radiological imaging tasks, such as risk …

Artificial intelligence in radiology: some ethical considerations for radiologists and algorithm developers

MA Mazurowski - Academic radiology, 2020 - Elsevier
As artificial intelligence (AI) is finding its place in radiology, it is important to consider how to
guide the research and clinical implementation in a way that will be most beneficial to …

From images to actions: opportunities for artificial intelligence in radiology

CE Kahn Jr - Radiology, 2017 - pubs.rsna.org
From Images to Actions: Opportunities for Artificial Intelligence in Radiology | Radiology
RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …

How AI may transform musculoskeletal imaging

A Guermazi, P Omoumi, M Tordjman, J Fritz, R Kijowski… - Radiology, 2024 - pubs.rsna.org
While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …

Current clinical applications of artificial intelligence in radiology and their best supporting evidence

A Tariq, S Purkayastha, GP Padmanaban… - Journal of the American …, 2020 - Elsevier
Purpose Despite tremendous gains from deep learning and the promise of artificial
intelligence (AI) in medicine to improve diagnosis and save costs, there exists a large …

[HTML][HTML] Is artificial intelligence replacing our radiology stars? Not yet!

GE Cacciamani, DI Sanford, TN Chu, M Kaneko… - European Urology Open …, 2023 - Elsevier
Artificial intelligence (AI) is here to stay and will change health care as we know it. The
availability of big data and the increasing numbers of AI algorithms approved by the US …

Artificial intelligence may cause a significant disruption to the radiology workforce

MA Mazurowski - Journal of the American College of Radiology, 2019 - Elsevier
The increasingly realistic prospect of artificial intelligence (AI) playing an important role in
radiology has been welcomed with a mixture of enthusiasm and anxiousness. A consensus …

Current applications and future impact of machine learning in radiology

G Choy, O Khalilzadeh, M Michalski, S Do, AE Samir… - Radiology, 2018 - pubs.rsna.org
Recent advances and future perspectives of machine learning techniques offer promising
applications in medical imaging. Machine learning has the potential to improve different …