Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jacr.2012.08.006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Characterization and Targeting of the Main Drivers of Elective Imaging Utilization: A Cross-sectional Study Applying Conjoint Analysis.
J Am Coll Radiol
January 2025
University of Chicago, Department of Radiology, Chicago, IL.
Objective: To characterize patient and referring physician preferences when selecting where to have elective imaging performed METHODS: In this Institutional Research Board approved survey-based study, online surveys were completed by 393 patients who had recently had a non-contrast MRI of the shoulder, lumbar spine, or knee within the past 2 years and 168 physicians who had ordered at least 12 such MRIs in the past year. The survey data included explicit questions about preferences as well as a set of conjoint choice screens. Conjoint analysis utilized a logistic model estimated using maximum likelihood estimation.
View Article and Find Full Text PDFPatient-Friendly Summary of the ACR Appropriateness Criteria®: Supplemental Breast Cancer Screening Based on Breast Density: 2024 Update.
J Am Coll Radiol
January 2025
New York University Grossman School of Medicine, 160 East 34(th) St, New York, NY 10016. Electronic address:
Editorial Response to Watson et al.
J Am Coll Radiol
January 2025
Department of Radiology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Registered Radiologist Assistants Are Not Able to Bill Independently.
J Am Coll Radiol
January 2025
Ochsner Clinic Staff Radiologist, Chair, ACR Commission on Human Resources, Member, ACR Board of Chancellors. Electronic address:
Artificial Intelligence in Radiology: A Leadership Survey.
J Am Coll Radiol
January 2025
University of California, Davis, Sacramento, CA.
Purpose: Surveys to assess views about artificial intelligence (AI) of various diagnostic radiology constituencies have revealed interesting combinations of enthusiasm, caution, and implementation priorities. We surveyed academic radiology leaders about their views on AI and how they intend to approach AI implementation in their departments.
Materials And Methods: We conducted a web survey of Society of Chairs of Academic Radiology Departments (SCARD) members between October 5 and October 31, 2023 to solicit optimism or pessimism about AI, target use cases, planned implementation, and perceptions of their workforce.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!