Exploring Radiographers' Readiness for Artificial Intelligence in Kuwait: Insights and Applications
ABSTRACT Introduction There is a growing adoption of artificial intelligence (AI) in the field of medical imaging. AI can potentially enhance patient care, improve workflow, and analyze patient's medical data. This study aimed to explore radiographers' knowledge, perceptions, and expectati...
Saved in:
| Main Authors: | Asseel Khalaf, Manar Alshammari, Hawraa Zayed, Maryam Emnawer, Abdulmohsen Esfahani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
|
| Series: | Health Science Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hsr2.70465 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diagnostic Performance of Artificial Intelligence in Chest Radiographs Referred from the Emergency Department
by: Julia López Alcolea, et al.
Published: (2024-11-01) -
Artificial intelligence to evaluate diagnosed COVID-19 chest radiographs
by: Bruno Takara, et al.
Published: (2022-09-01) -
Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology
by: Aslıhan Şahan Keskin, et al.
Published: (2025-06-01) -
The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest Radiography
by: Hendrik Erenstein, et al.
Published: (2025-03-01) -
The Validation of an Artificial Intelligence-Based Software for the Detection and Numbering of Primary Teeth on Panoramic Radiographs
by: Heba H. Bakhsh, et al.
Published: (2025-06-01)