Artificial intelligence-based clinical decision support systems using advanced medical imaging and radiomics

F Shaikh, J Dehmeshki, S Bisdas… - Current Problems in …, 2021 - Elsevier
Artificial intelligence (AI) is poised to make a veritable impact in medicine. Clinical decision
support (CDS) is an important area where AI can augment the clinician's capability to collect …

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 …

Artificial intelligence in radiology: the ecosystem essential to improving patient care

J Sogani, B Allen Jr, K Dreyer, G McGinty - Clinical Imaging, 2020 - Elsevier
The rapid development of artificial intelligence (AI) has led to its widespread use in multiple
industries, including healthcare. AI has the potential to be a transformative technology that …

[HTML][HTML] Artificial intelligence in radiology: a call for thoughtful application

CN Driver, BS Bowles, BJ Bartholmai… - Clinical and …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is the most recent development in a long series of disruptive
technological innovations in radiology. Medical imaging began in the late 1800s after the …

How artificial intelligence is shaping medical imaging technology: A survey of innovations and applications

L Pinto-Coelho - Bioengineering, 2023 - mdpi.com
The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success

JH Thrall, X Li, Q Li, C Cruz, S Do, K Dreyer… - Journal of the American …, 2018 - Elsevier
Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and
growing rapidly, fueled by availability of large datasets (“big data”), substantial advances in …

Artificial intelligence in diagnostic and interventional radiology: where are we now?

T Boeken, J Feydy, A Lecler, P Soyer, A Feydy… - Diagnostic and …, 2023 - Elsevier
The emergence of massively parallel yet affordable computing devices has been a game
changer for research in the field of artificial intelligence (AI). In addition, dramatic investment …

The current state of artificial intelligence in medical imaging and nuclear medicine

LIT Lee, S Kanthasamy, RS Ayyalaraju, R Ganatra - BJR| Open, 2019 - academic.oup.com
The last decade has seen a huge surge in interest surrounding artificial intelligence (AI). AI
has been around since the 1950s, although technological limitations in the early days meant …

A practical guide to artificial intelligence–based image analysis in radiology

T Weikert, J Cyriac, S Yang, I Nesic… - Investigative …, 2020 - journals.lww.com
The use of artificial intelligence (AI) is a powerful tool for image analysis that is increasingly
being evaluated by radiology professionals. However, due to the fact that these methods …

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 …