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 …

The role of an artificial intelligence ecosystem in radiology

B Allen, R Gish, K Dreyer - Artificial intelligence in medical imaging …, 2019 - Springer
Moving artificial intelligence tools for diagnostic imaging into routine clinical practice will
require cooperation and collaboration between developers, physicians, regulators, and …

Artificial intelligence in clinical imaging: a health system approach

FJ Gilbert, SW Smye, CB Schönlieb - Clinical radiology, 2020 - Elsevier
The development and application of artificial intelligence (AI) to radiology requires an
approach that encompasses a health system. The UK government and National Health …

[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 to develop artificial intelligence applications

A Alberich-Bayarri, AJ Pastor, RL González… - Artificial intelligence in …, 2019 - Springer
If there is a field where AI is introducing disruptive innovations, it is healthcare, where
doctors have to handle a large set of information in every clinical episode. AI developments …

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 …

Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group

C Malamateniou, S McFadden, Y McQuinlan… - Radiography, 2021 - Elsevier
Introduction Artificial intelligence (AI) has started to be increasingly adopted in medical
imaging and radiotherapy clinical practice, however research, education and partnerships …

Artificial intelligence in radiography: where are we now and what does the future hold?

C Malamateniou, KM Knapp, M Pergola, N Woznitza… - Radiography, 2021 - Elsevier
Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …

Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?

E Pakdemirli - Acta radiologica open, 2019 - journals.sagepub.com
The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in
radiology. AI has also been the source of great innovation and a prominent topic 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 …