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 …

Artificial intelligence and machine learning for medical imaging: A technology review

A Barragán-Montero, U Javaid, G Valdés, D Nguyen… - Physica Medica, 2021 - Elsevier
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Artificial intelligence: reshaping the practice of radiological sciences in the 21st century

I El Naqa, MA Haider, ML Giger… - The British journal of …, 2020 - academic.oup.com
Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

Redefining radiology: a review of artificial intelligence integration in medical imaging

R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

[图书][B] Artificial intelligence in medical imaging: opportunities, applications and risks

ER Ranschaert, S Morozov, PR Algra - 2019 - Springer
An increasing number of unanswered questions made us unsettled about the evolution of
radiology and its current ability to keep up with the pace of healthcare transformation. The …

Artificial intelligence and deep learning–radiology's next frontier?

RC Mayo, J Leung - Clinical imaging, 2018 - Elsevier
Tracing the use of computers in the radiology department from administrative functions
through image acquisition, storage, and reporting, to early attempts at improved diagnosis …

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) …

AI applications to medical images: From machine learning to deep learning

I Castiglioni, L Rundo, M Codari, G Di Leo, C Salvatore… - Physica medica, 2021 - Elsevier
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …

Artificial intelligence in radiology

A Hosny, C Parmar, J Quackenbush… - Nature Reviews …, 2018 - nature.com
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …

[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho… - Physica medica, 2021 - Elsevier
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …