AI in medical imaging informatics: current challenges and future directions

AS Panayides, A Amini, ND Filipovic… - … health informatics, 2020 - ieeexplore.ieee.org
MEDICAL imaging informatics covers the application of information and communication
technologies (ICT) to medical imaging … from explainable artificial intelligence methods leveraging …

Advancing medical imaging informatics by deep learning-based domain adaptation

A Choudhary, L Tong, Y Zhu… - … of medical informatics, 2020 - thieme-connect.com
… We have summarized the application of these DA methods in medical imaging in [Table 1]. …
In: Proceedings of the AAAI Conference on Artificial Intelligence 2019; 33: 865-72 …

[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
… 3D Slicer [37] is a well known open source software platform widely used for medical image
informatics, image processing, and three-dimensional visualisation. 3D Slicer capabilities …

Adversarial attacks and defenses on AI in medical imaging informatics: A survey

S Kaviani, KJ Han, I Sohn - Expert Systems with Applications, 2022 - Elsevier
… Deep neural network (DNN), as one of the most efficient … in artificial intelligence (AI), have
become prominent recently in medical imaging, to improve diagnosis and assist medical staff …

[HTML][HTML] Artificial intelligence education and tools for medical and health informatics students: systematic review

AH Sapci, HA Sapci - JMIR Medical Education, 2020 - mededu.jmir.org
… discussed current applications of AI in medical imaging and … Masters, 2019 [36] Oman
Artificial intelligence in medical … The authors identified new AI applications in medicine and …

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

R Najjar - Diagnostics, 2023 - mdpi.com
… to the application of machine learning and deep learning in modern medical image analysis.
The primary focus of this review is to shed light on AI applications in radiology, elucidating …

[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 - … College of Radiology, 2020 - Elsevier
… clinical outcomes and raise further the value of medical imaging in ways yet to be defined. …
of AI in medical imaging. We highlight progress in its clinical application, the investments that …

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

MH Rezazade Mehrizi, P van Ooijen, M Homan - European radiology, 2021 - Springer
Imaging Informatics and Artificial Intelligence … and critically analyze the AI applications in
the radiology domain. … We also excluded the applications that do not explicitly refer to any …

Checklist for artificial intelligence in medical imaging (CLAIM): a guide for authors and reviewers

J Mongan, L Moy, CE Kahn Jr - Radiology: Artificial Intelligence, 2020 - pubs.rsna.org
… networks as a new artificial intelligence (AI) technique has engendered a large number
of medical applications, particularly in medical imaging. Such applications of AI must remain …

Human, all too human? An all-around appraisal of the “artificial intelligence revolution” in medical imaging

F Coppola, L Faggioni, M Gabelloni… - Frontiers in …, 2021 - frontiersin.org
… ; European Society of Radiology (ESR), 2019b). In diagnostic imaging, overfitting can be …
of the main challenges for the applications of ML systems in diagnostic imaging. Accuracy is …