Artificial intelligence solutions for analysis of X-ray images

SJ Adams, RDE Henderson, X Yi… - … of Radiologists Journal, 2021 - journals.sagepub.com
Artificial intelligence (AI) presents a key opportunity for radiologists to improve quality of care
and enhance the value of radiology in patient care and population health. The potential …

How far have we come? Artificial intelligence for chest radiograph interpretation

K Kallianos, J Mongan, S Antani, T Henry, A Taylor… - Clinical radiology, 2019 - Elsevier
Due to recent advances in artificial intelligence, there is renewed interest in automating
interpretation of imaging tests. Chest radiographs are particularly interesting due to many …

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 …

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 …

[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 …

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 from A to Z: from neural network to legal framework

M van Assen, SJ Lee, CN De Cecco - European journal of radiology, 2020 - Elsevier
Artificial intelligence (AI) will continue to cause substantial changes within the field of
radiology, and it will become increasingly important for clinicians to be familiar with several …

[HTML][HTML] Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings

NH Nguyen, HQ Nguyen, NT Nguyen… - Frontiers in Digital …, 2022 - frontiersin.org
Background: The purpose of this paper is to demonstrate a mechanism for deploying and
validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu …

Bending the artificial intelligence curve for radiology: informatics tools from ACR and RSNA

M Kohli, T Alkasab, K Wang, ME Heilbrun… - Journal of the American …, 2019 - Elsevier
Artificial intelligence (AI) will reshape radiology over the coming years. The radiology
community has a strong history of embracing new technology for positive change, and AI is …

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 …