[PDF][PDF] A qualitative study to understand patient perspective on the use of artificial intelligence in radiology

M Haan, YP Ongena, S Hommes… - Journal of the …, 2019 - research.rug.nl
DESCRIPTION OF THE PROBLEM: NEGLECT OF PATIENT'S PERSPECTIVE ON
ARTIFICIAL INTELLIGENCE USE IN RADIOLOGY Artificial intelligence (AI) refers to the …

Artificial intelligence and machine learning in radiology: current state and considerations for routine clinical implementation

JL Wichmann, MJ Willemink… - Investigative …, 2020 - journals.lww.com
Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …

[HTML][HTML] Artificial intelligence in emergency radiology: a review of applications and possibilities

BD Katzman, CB van der Pol, P Soyer… - … and Interventional Imaging, 2023 - Elsevier
Artificial intelligence (AI) applications in radiology have been rising exponentially in the last
decade. Although AI has found usage in various areas of healthcare, its utilization in the …

Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations

MP Recht, M Dewey, K Dreyer, C Langlotz… - European …, 2020 - Springer
Artificial intelligence (AI) has the potential to significantly disrupt the way radiology will be
practiced in the near future, but several issues need to be resolved before AI can be widely …

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 …

Applications of artificial intelligence in musculoskeletal imaging: from the request to the report

N Gorelik, S Gyftopoulos - Canadian Association of …, 2021 - journals.sagepub.com
Artificial intelligence (AI) will transform every step in the imaging value chain, including
interpretive and noninterpretive components. Radiologists should familiarize themselves …

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] AI in diagnostic imaging: Revolutionising accuracy and efficiency

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Introduction This review evaluates the role of Artificial Intelligence (AI) in transforming
diagnostic imaging in healthcare. AI has the potential to enhance accuracy and efficiency of …

Demystification of AI-driven medical image interpretation: past, present and future

P Savadjiev, J Chong, A Dohan, M Vakalopoulou… - European …, 2019 - Springer
The recent explosion of 'big data'has ushered in a new era of artificial intelligence (AI)
algorithms in every sphere of technological activity, including medicine, and in particular …

Artificial intelligence and deep learning–radiology's next frontier?

RC Mayo, J Leung - Clinical imaging, 2018 - Elsevier
Tracing the use of computers in the radiology department from administrative functions
through image acquisition, storage, and reporting, to early attempts at improved diagnosis …