| Content of Presentation |
|
|
|
|
|
| Presentation Delivery |
|
|
|
|
|
| Objective met: Gain an updated understanding of the current landscape of artificial intelligence in radiology, including available solutions, methods of delivery, and key factors that drive successful adoption. |
|
|
|
|
|
| Objective met: Obtain an enhanced ability to critically evaluate AI tools, assess their clinical utility, and understand implementation strategies to optimize workflow integration and radiology practice. |
|
|
|
|
|
| Objective met: Learners will be better prepared to incorporate AI solutions into their practice, improve efficiency in imaging and operations, triage of critical findings, and accuracy of detection of image findings. |
|
|
|
|
|
| Objective met: Apply AI responsibly and effectively to improve diagnostic accuracy, reduce delays in reporting, personalize treatment planning, and ultimately enhance patient safety and outcomes. |
|
|
|
|
|
