🚨Learn how Lunit's AI can triage urgent cases in both primary care and the ED

🗒️About the webinar

Prof. Edwin van Beek from the University of Edinburgh Imaging Facility QMRI in the UK will be presenting on how Lunit INSIGHT CXR, an AI solution for chest x-rays, can improve reporting workflows in primary care and the Emergency Department.

👉 Read his study published in Clinical Radiology: Click here

📌Highlights

• Overview of clinical research on AI in radiology
• Design of a retrospective validation study assessing the performance of AI in a real-world setting
• Performance result of Lunit INSIGHT CXR

📢 About the Speaker

Director at Edinburgh Imaging facility QMRI, University of Edinburgh. SINAPSE Chair of Clinical Radiology

• President of Quantitative Clinical Trials Imaging Services UK, Ltd. (2009~Present)
• Non-Executive Board Member of Aidence (2017 ~ Present)
• Director of Clinical Research Imaging Centre, University of Edinburgh (2009~Present)
• CEO and CMO of Quantitative Imaging of lowa (2007~2010)
• Professor of Radiology, Medicine and Biomedical Engineering from the University of lowa (2004~2009)
• Reader in Radiology of The University of Sheffield (1999~2004)

🛑 Lunit INSIGHT CXR

• Demonstrated similar accuracy to expert chest radiologists when used on 10 common chest radiographic findings.
• Able to triage chest radiographs with critical and urgent findings, including pneumoperitoneum, pneumothorax, and consolidation, and ones with non-urgent findings, including atelectasis, calcification, and fibrosis.
• Enables radiologists to report urgent cases immediately, speeding up the overall reporting time. This helps achieve a timely diagnosis.
• Enables clinicians to have an immediate provisional diagnosis prior to the final radiologist report being issued, reducing the recall rate and unnecessary hospital admissions.

📢 For further questions on Lunit INSIGHT, please click here.

📢 After you've watched the webinar, visit our online demo website.