Cargando…
Saudi Radiology Personnel’s Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study
PURPOSE: Artificial intelligence (AI) in radiology has been a subject of heated debate. The external perception is that algorithms and machines cannot offer better diagnosis than radiologists. Reluctance to implement AI maybe due to the opacity in how AI applications work and the challenging and len...
Autores principales: | Qurashi, Abdulaziz A, Alanazi, Rashed K, Alhazmi, Yasser M, Almohammadi, Ahmed S, Alsharif, Walaa M, Alshamrani, Khalid M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627310/ https://www.ncbi.nlm.nih.gov/pubmed/34848967 http://dx.doi.org/10.2147/JMDH.S340786 |
Ejemplares similares
-
A qualitative study to explore opinions of Saudi Arabian radiologists concerning AI-based applications and their impact on the future of the radiology
por: Alsharif, Walaa, et al.
Publicado: (2022) -
Saudi Radiologists’ and Radiographers’ Perceptions of Accreditation Programmes in Clinical Radiology Departments: A Cross-Sectional Study
por: Qurashi, Abdulaziz A, et al.
Publicado: (2022) -
Burnout Among Saudi Radiological Sciences Undergraduate Students During COVID-19 Pandemic: A Cross-Sectional Study
por: Alshamrani, Khalid M, et al.
Publicado: (2022) -
The Motivational Factors of Choosing Diagnostic Radiology as a Profession Among Saudi Radiography Students
por: Alsharif, Walaa M, et al.
Publicado: (2022) -
The role of teleradiology during COVID-19 outbreak: Saudi radiologists’ perspectives
por: Al-Dahery, Shrooq T., et al.
Publicado: (2023)