Results 71 to 80 of about 3,304,556 (301)
What Counts as Educational Innovation in Clinical Anatomy?
ABSTRACT Clinical anatomy has become a prominent setting for educational innovation because it links anatomical science with diagnostic imaging, procedural practice, surgery, simulation, and patient safety. However, the term innovation is used inconsistently.
Juan A. Sanchis‐Gimeno +2 more
wiley +1 more source
The state-by-state distribution of diagnostic radiology residency positions is important for several reasons. The location in which residents train is positively correlated with their eventual practice location, and states with relatively few residents ...
Mukhtar, Mohsin +3 more
core +1 more source
Correction to: Emergency Radiology (2022) https://doi.org/10.1007/s10140-022-02109-2 The above article was published with error in author name. The correct spelling is David Machado-Aranda (not "Arancha").
Patel, Nishant A. +7 more
core +1 more source
Effect of Direct Neuroradiologist Participation in Physician Marketing on Imaging Volumes in Outpatient Radiology [PDF]
Over the past several years, decreased demand for and increased supply of imaging services has increased competition among outpatient imaging centers in the United States. This study hypothesizes that using a radiology sales representative and neuroradiologist as a team in marketing and sales will increase imaging referrals in outpatient imaging.From ...
L, Grignon +6 more
openaire +2 more sources
Ambient technology in epilepsy clinical practice
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan +3 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
The International Society of Strategic Studies in Radiology
The international Society of Strategic Studies in Radiology is a nonpolitical, nonprofit organization whose purpose is to define and investigate strategic, scientific, and economic issues of global importance to the field of ...
Ringertz, HG +9 more
core +1 more source
Development and validation of a questionnaire to evaluate infection control in oral radiology
Objectives: To create and validate a questionnaire to evaluate infection control in oral radiology. Methods: The questionnaire was developed after review of the literature, which included published articles and the biosafety protocols available from ...
Da Costa, Eliana D. +4 more
core +1 more source
Background/Objectives: Successful discourse relies not only on linguistic but also on prosodic information. Difficulty recognizing emotion conveyed through prosody (receptive affective aprosodia) following right hemisphere stroke (RHS) significantly ...
Meyra S. Jackson +6 more
doaj +1 more source
Metastatic basal cell carcinoma with atypical pattern of spread
Basal cell carcinoma is the most common malignancy in the United States. However, metastasis of basal cell carcinoma is exceedingly rare, with incidence estimates of 0.0028–0.055%.
Matthew Gellatly, BA +3 more
doaj +1 more source

