Current challenges of implementing artificial intelligence in medical imaging

SN Saw, KH Ng - Physica Medica, 2022 - Elsevier
The idea of using artificial intelligence (AI) in medical practice has gained vast interest due
to its potential to revolutionise healthcare systems. However, only some AI algorithms are …

Artificial intelligence in imaging: the radiologist's role

DL Rubin - Journal of the American College of Radiology, 2019 - Elsevier
Rapid technological advancements in artificial intelligence (AI) methods have fueled
explosive growth in decision tools being marketed by a rapidly growing number of …

Understanding artificial intelligence based radiology studies: What is overfitting?

S Mutasa, S Sun, R Ha - Clinical imaging, 2020 - Elsevier
Artificial intelligence (AI) is a broad umbrella term used to encompass a wide variety of
subfields dedicated to creating algorithms to perform tasks that mimic human intelligence. As …

Demystification of AI-driven medical image interpretation: past, present and future

P Savadjiev, J Chong, A Dohan, M Vakalopoulou… - European …, 2019 - Springer
The recent explosion of 'big data'has ushered in a new era of artificial intelligence (AI)
algorithms in every sphere of technological activity, including medicine, and in particular …

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & …

AP Brady, B Allen, J Chong, E Kotter… - Canadian …, 2024 - journals.sagepub.com
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

A road map for translational research on artificial intelligence in medical imaging: from the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

B Allen Jr, SE Seltzer, CP Langlotz, KP Dreyer… - Journal of the American …, 2019 - Elsevier
Advances in machine learning in medical imaging are occurring at a rapid pace in research
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …

[HTML][HTML] An intelligent future for medical imaging: a market outlook on artificial intelligence for medical imaging

A Alexander, A Jiang, C Ferreira, D Zurkiya - Journal of the American …, 2020 - Elsevier
Radiologists today are under increasing work pressure. We surveyed radiologists in the
United States across practice settings, and the overwhelming majority reported an increased …

When machines think: radiology's next frontier

KJ Dreyer, JR Geis - Radiology, 2017 - pubs.rsna.org
Artificial intelligence (AI), machine learning, and deep learning are terms now seen
frequently, all of which refer to computer algorithms that change as they are exposed to more …

[HTML][HTML] Artificial intelligence in emergency radiology: a review of applications and possibilities

BD Katzman, CB van der Pol, P Soyer… - … and Interventional Imaging, 2023 - Elsevier
Artificial intelligence (AI) applications in radiology have been rising exponentially in the last
decade. Although AI has found usage in various areas of healthcare, its utilization in the …

[HTML][HTML] Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

D Visvikis, P Lambin, K Beuschau Mauridsen… - European journal of …, 2022 - Springer
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as
it will in everyday life. In this review, we focus on the potential applications of AI in the field …