Results 1 to 10 of about 167,942 (343)
Effects of Changing the Reporting System from Decentralized/Modality-Based to Centralized/Subspecialized Radiology on Radiologists, Radiologic Technicians and Referring Physicians of a Multi-Center Radiology Network [PDF]
Objectives: To determine the effects of reorganizing a radiology institute from decentralized/modality-based to centralized/subspecialized radiology on radiologists, radiologic technicians, and referring physicians at a multi-center radiology network ...
Andreas Zabel +4 more
doaj +2 more sources
The Potential Dangers of Artificial Intelligence for Radiology and Radiologists. [PDF]
With the advent of artificial intelligence (AI) across many fields and subspecialties, there are considerable expectations for transformative impact. However, there are also concerns regarding the potential abuse of AI. Many scientists have been worried about the dangers of AI leading to “biased” conclusions in part due to the enthusiasm of the ...
Chu LC +3 more
europepmc +5 more sources
Quantitative Radiology Reporting in Oncology: Survey of Oncologists and Radiologists [PDF]
Tumor quantification is essential for determining the clinical efficacy and response to established and evolving therapeutic agents in cancer trials. The purpose of this study was to seek the opinions of oncologists and radiologists about quantitative interactive and multimedia reporting.Questionnaires were distributed to 253 oncologists and registrars
Les R, Folio +5 more
openaire +3 more sources
Convolutional neural networks: an overview and application in radiology
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology.
Rikiya Yamashita
exaly +2 more sources
COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists. [PDF]
Tizhoosh HR, Fratesi J.
europepmc +4 more sources
To evaluate the Dutch integrated nuclear medicine and radiology residency program from the perspective of nuclear medicine physicians and radiologists.
T. Velleman +4 more
semanticscholar +1 more source
Radiology as a specialty has been enormously successful since its beginnings, moving over time from an adjunct to clinical decision-making to a crucial component of multidisciplinary patient care.
European Society of Radiology (ESR)
doaj +1 more source
Radiologists’ perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists and residents in Europe and beyond.
M. Huisman +15 more
semanticscholar +1 more source
Ultrasound practice is a longstanding tradition for radiology departments, being part of the family of imaging techniques. Ultrasound is widely practiced by non-radiologists but becoming less popular within radiology.
Paul S. Sidhu +11 more
doaj +1 more source
Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a much-debated topic but have not been investigated in the community at large.
M. Huisman +15 more
semanticscholar +1 more source

