Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates
In contrast with the existing studies, this research uses a substantially large data. A high NPV and satisfactory agreement with human readers indicate that AI can reliably identify normal CXRs, making it suitable for routine applications.
Authors
- Aswathy G. H. Nair
- Bhargava Reddy (ORCID: https://orcid.org/0000-0001-7643-7346)
- Dennis Robert (ORCID: https://orcid.org/0000-0002-8539-6408)
- Hatem Ghonim
- Anumeha Srivastava
- Mohyi Eldin Fahmy
- Afrah Abdikarim Mohamed
- Hany Abdou
- Amina Abdelqadir Mohamed AlJasmi
- Shamie Kumar
Institutions
- University of Dubai (AE)
- Hindustan Aeronautics Limited (India) (IN)
- Research Square (United States) (US)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1016/j.ejro.2024.100606
- Citations
- 5
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 2.02