Improving radiology oncologic imaging trainee case diversity through automatic examination assignment: retrospective study from a tertiary cancer center
… of subspecialty examinations reported by oncologic imaging … rates (1) and fewer interpretation
discrepancies (2). The … , impacting radiology education and molding the expertise of …
discrepancies (2). The … , impacting radiology education and molding the expertise of …
Impact of shift volume on neuroradiology diagnostic errors at a large tertiary academic center
V Ivanovic, A Paydar, YM Chang, K Broadhead… - … Radiology, 2023 - Elsevier
… studies per workday, or with decreased interpretation time … showing that interpretations by
subspecialists have lower error … Prior work has shown neuroradiologist's expertise acquired …
subspecialists have lower error … Prior work has shown neuroradiologist's expertise acquired …
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
F Pesapane, M Codari, F Sardanelli - European radiology experimental, 2018 - Springer
… Neuroradiology (here evaluated as imaging of the central nervous system) is the most involved
subspecialty (… The clinical interpretation of the findings is left to other physicians. This is …
subspecialty (… The clinical interpretation of the findings is left to other physicians. This is …
The state of radiology AI: considerations for purchase decisions and current market offerings
Y Tadavarthi, B Vey, E Krupinski, A Prater… - Radiology: Artificial …, 2020 - pubs.rsna.org
… are primarily focused on image interpretation. The authors do … are divided by subspecialty
as follows: head and neck, breast, … Expert-level detection of acute intracranial hemorrhage on …
as follows: head and neck, breast, … Expert-level detection of acute intracranial hemorrhage on …
Detection of recurrent pancreatic cancer: value of second-opinion interpretations of cross-sectional images by subspecialized radiologists
… imaging due to insufficient diagnostic quality of the scan. … of neuroradiologist’s second-opinion
interpretation in head and … with subspecialty expertise in abdominal imaging in assessing …
interpretation in head and … with subspecialty expertise in abdominal imaging in assessing …
[HTML][HTML] Improving Cancer diagnosis and care: patient access to oncologic imaging expertise
SJ Nass, CR Cogle, JA Brink, CP Langlotz… - Journal of Clinical …, 2019 - ncbi.nlm.nih.gov
… for their appropriate use and interpretation. However, training … Subspecialization in
radiology is generally by organ or … consistent, high-quality oncologic imaging services. Optimal …
radiology is generally by organ or … consistent, high-quality oncologic imaging services. Optimal …
Subspecialization in radiology: effects on the diagnostic spectrum of radiologists and report turnaround time in a Swiss university hospital
TP Meyl, M de Bucourt, A Berghöfer, A Huppertz… - La radiologia …, 2019 - Springer
… , with his/her extensive expertise and experience, radiologist … This is followed by repeated
interpretation of the imaging dataset in … can lead to a higher quality and precision in radiologic …
interpretation of the imaging dataset in … can lead to a higher quality and precision in radiologic …
The value of imaging part II: value beyond image interpretation
… , more consistent, and higher quality care. As payers and … actionable opportunities for
radiology professionals to gather … in some subspecialties, such as breast imaging; however, …
radiology professionals to gather … in some subspecialties, such as breast imaging; however, …
The cognitive basis for the design of a mammography interpretation tutor
… taught, (2) quality of presentation by individual radiology staff … of expertise in other radiological
sub-specialties such as … the results of the dissertation and interviews with the expert staff …
sub-specialties such as … the results of the dissertation and interviews with the expert staff …
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
… imitate the 3D integration of image interpretation by radiologists. In … expert neuroradiology
subspecialists with 9–34 years of experience, providing reliable ground truth. This high-quality …
subspecialists with 9–34 years of experience, providing reliable ground truth. This high-quality …