Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jacr.2023.04.029 | DOI Listing |
Acad Radiol
January 2025
Department of Radiology, Indiana University School of Medicine, 702 North Barnhill Drive, Room 1053, Indianapolis, IN 46202 (W.O.D.M., B.G., D.L.R., J.K.S., R.B.G.). Electronic address:
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.
Clin Radiol
December 2024
Department of Radiology, University Hospitals Dorset NHS Foundation Trust, Poole, BH15 2JB, UK.
Clinical and interventional radiology services play a vital role in the provision of modern healthcare, but there is a widening gap between the capacity of the imaging workforce and increasing demand. In recent years there has been a programme of training expansion in England supported by tariff level funding from NHS England (Workforce Training and Education Directorate), enhancing long-term radiology workforce sustainability and bringing quality benefits for patients, departments, and trusts. Expansion is a multifaceted and challenging process in the current NHS climate, involving coordination of funding, capacity, and sustained educational quality.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!