Normal and Abnormal Chest X-Ray Classification at Visa Screening Centers in UAE

This was a multicenter retrospective study aiming to evaluate the agreement between qXR and radiologists in classifying CXRs as normal or abnormal (more from a TB angle) for scans that the rads receive from visa screening pathway. Addl, that have assess the perceived benefits and challenges of integrating AI into clinical workflows to streamline the screening process

This prospective study analyzing over 1.3 mn scans from the visa screening population over 18 months (Jan 2021 - June 2022) using qXR to detect various radiological abnormalities in CXRs, thereby enhancing both the speed and accuracy of diagnoses by segregating normals from abnormals.

Integrating AI into radiology workflows addresses issues of burnout, improves diagnostic accuracy, and enhances operational efficiency. In the UAE's 33 radiology centres, qXR streamlined the visa screening process, quickly classifying CXRs and supporting timely clinical decisions while alleviating the workload on radiologists

0.99 NPV

Survey result: (there was also a survey conducted to understand the experience of rads/PACS & IT managers)The survey indicated that 82% of radiologists believe AI enhances diagnostic accuracy & 88.2% noted a reduction in TAT following AI integration. Our AI demonstrated a high NPV of 99.92%, confirming its effectiveness in identifying normal CXRs with minimal false negatives.

With strict compliance to regulatory standards (since all the data collected during the course of this study was stripped of any patient identifiers in compliance with HIPAA and GDPR guidelines) ; the integration of AI in clinical workflows is rapidly expanding. This study, analyzing over 1.3 million scans from the visa screening population over 18 months (Jan 21 - June 22), highlights the robust capabilities of AI in enhancing efficiency and reducing diagnostic fatigue. By aligning AI interpretations with radiologist assessments, we can minimize the risk of incorrect diagnoses and ultimately improve patient care.

3 key take aways:

-> 0.99 NPV ---indicating that our AI can very well identify normal CXRs from abnormal with minimum FN

-> 88% of rads report faster turnaround times

-> 82% of rads confirm improved diagnostic accuracy