| Title |
Faatoafe, Alexander, & Khan MSRS_2024 |
| Alternative Title |
Cross-Sectional Survey on Artificial Intelligence Adoption in Cardiac Catheterization:; Insights from Interventional Cardiologists and Allied Professionals |
| Creator |
Faatoafe, Nathaniel; Alexander, Bharat; Khan, Nadir |
| Collection Name |
Master of Radiologic Sciences |
| Description |
This study aims to assess the perceptions and readiness of interventional cardiologists and allied health professionals toward adopting AI technologies in cardiac procedures. |
| Abstract |
With the advent of artificial intelligence (AI) in healthcare, its integration into cardiac care, particularly in catheterization labs, is of significant interest. This study aims to assess the perceptions and readiness of interventional cardiologists and allied health professionals toward adopting AI technologies in cardiac procedures. This study provides the attitudes, concerns, and barriers to adopting AI in catheterization by conducting a detailed assessment. The background establishes the context of rapid technological advancement and the necessity to evaluate its acceptance within specialized medical fields. |
| Subject |
Artificial intelligence; Medicine; Medical technology |
| Digital Publisher |
Stewart Library, Weber State University, Ogden, Utah, United States of America |
| Date |
2024 |
| Medium |
Thesis |
| Type |
Text |
| Access Extent |
852 KB; 58 page pdf |
| Language |
eng |
| Rights |
The author has granted Weber State University Archives a limited, non-exclusive, royalty-free license to reproduce his or her theses, in whole or in part, in electronic or paper form and to make it available to the general public at no charge. The author retains all other rights. |
| Source |
University Archives Electronic Records: Master of Radiologic Sciences. Stewart Library, Weber State University |
| Format |
application/pdf |
| ARK |
ark:/87278/s6g3gxx2 |
| Setname |
wsu_smt |
| ID |
143574 |
| Reference URL |
https://digital.weber.edu/ark:/87278/s6g3gxx2 |
