Revolutionizing Outpatient Radiology with Qure.ai's AI Models
Qure.ai's tech is adept at quickly and accurately diagnosing diseases from radiology imaging such as X-rays, CT scans, and MRIs, highlighting relevant areas in seconds.
qXR: A Pioneering AI Tool for Chest X-rays
The US FDA cleared qXR-CTR
, a Qure artificial intelligence-enabled chest X-ray solution, for measuring the cardiothoracic ratio (CTR) in inpatient and outpatient settings.
Improving Efficiency and Patient Outcomes
A pilot study
conducted by Frimley Health NHS Foundation Trust in collaboration with Qure demonstrated the effectiveness of the qXR AI solution.
This study found that qXR could categorize chest X-rays with 99.7% accuracy, potentially reducing consultant radiologists' workload by up to 58%. T
Enhancing Early Detection and Diagnosis
Qure's tech has proven its efficacy in early disease detection, which is crucial for better patient outcomes.
This capability is particularly beneficial in outpatient settings, where early and accurate diagnosis can significantly alter treatment courses and outcomes.
Outperforming Traditional Radiological Assessments
qXR also demonstrates exceptionally high specificity and sensitivity rates.
These rates are crucial in reducing false positives and negatives, ensuring patients receive the most accurate diagnosis and appropriate care.
This level of accuracy is invaluable in outpatient settings, where radiologists often manage a high volume of cases.
Democratizing Healthcare Access
Qure's AI solutions are not just limited to high-end healthcare facilities but also play a significant role in democratizing healthcare.
By making quality diagnostics accessible and affordable, especially in areas with a shortage of specialized radiologists, AI technologies like those developed by Qure are essential to achieving health equity across different communities.
As we explore the interaction between AI and outpatient radiology, we are excited to extend an invitation for an enlightening session at RSNA 2023.
Join us on November 28, 2023, for a thought-provoking discussion led by Dr. Giovanni Lorenz, a distinguished Cardiac and Thoracic Radiologist from DocPanel.
This session, titled "AI in Outpatient Settings," scheduled for 3:00 pm CST at Booth Session 2, will delve into the cutting-edge ways AI is incorporated into outpatient care, highlighting its role in revolutionizing outpatient services, boosting efficiency, and significantly enhancing patient outcomes.