[HTML][HTML] Governance of automated image analysis and artificial intelligence analytics in healthcare

CWL Ho, D Soon, K Caals, J Kapur - Clinical radiology, 2019 - Elsevier
The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly
radiologists) will become redundant. It is still moot as to whether AI will replace radiologists …

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

MH Rezazade Mehrizi, P van Ooijen, M Homan - European radiology, 2021 - Springer
Objectives Why is there a major gap between the promises of AI and its applications in the
domain of diagnostic radiology? To answer this question, we systematically review and …

Evaluation of radiologist's knowledge about the Artificial Intelligence in diagnostic radiology: a survey-based study

A Tajaldeen, S Alghamdi - Acta Radiologica Open, 2020 - journals.sagepub.com
Background Advanced developments in diagnostic radiology have provided a rapid
increase in the number of radiological investigations worldwide. Recently, Artificial …

Canadian Association of Radiologists white paper on ethical and legal issues related to artificial intelligence in radiology

Canadian Association of Radiologists … - Canadian …, 2019 - journals.sagepub.com
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly
prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to …

Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors

L Strohm, C Hehakaya, ER Ranschaert, WPC Boon… - European …, 2020 - Springer
Objective The objective was to identify barriers and facilitators to the implementation of
artificial intelligence (AI) applications in clinical radiology in The Netherlands. Materials and …

Artificial intelligence in medical imaging

JC Gore - Magnetic resonance imaging, 2020 - Elsevier
The medical specialty radiology has experienced a number of extremely important and
influential technical developments in the past that have affected how medical imaging is …

Artificial intelligence in emergency radiology: where are we going?

M Cellina, M Cè, G Irmici, V Ascenti, E Caloro… - Diagnostics, 2022 - mdpi.com
Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and
management of different pathologies is essential to saving patients' lives. Artificial …

The opportunities and risks of artificial intelligence in medicine and healthcare

S Hamid - 2016 - repository.cam.ac.uk
Artificial Intelligence is increasingly being applied in healthcare and medicine, with the
greatest impact being achieved thus far in medical imaging. These are technologies that are …

The rebirth of CAD: how is modern AI different from the CAD we know?

L Oakden-Rayner - Radiology: artificial intelligence, 2019 - pubs.rsna.org
The Rebirth of CAD and performance in clinical practice. There is a range of likely causes for
this failure, but whatever the reason, we now have decades of hard-won experience that we …

Artificial intelligence and the practice of radiology: an alternative view

R Schier - Journal of the American College of Radiology, 2018 - Elsevier
Massive transformations often begin with deceptive slowness. The first hand-cranked digital
computer in 1672 could add and subtract. The first electronic digital computer in 1946 was …