Qure.ai to Launch AI Playbook for Radiology at 2023 European Congress of Radiology

Qure.ai Qure.ai, one of world's leading providers of AI for healthcare, will launch its artificial intelligence (AI) playbook for radiology at this year's European Congress of Radiology. Developed with its European research partners Professor Dirk Pickuth and Dr Susanne Ohlmann-Knafo of CaritasKlinikum Saarbrücken/Germany, the playbook will provide European clinicians and radiologists with a helpful guide to understanding the business case for AI in radiology.

Qure.ai will also be hosting a presentation "AI Sparking the Cycle of Change" at Room K2, Level -2, ACV on March 1st at 11:30am CET with leading clinicians from Oxford University Hospitals NHS Foundation Trust, Ege University Medical Faculty, Mt Lebanon Hospital UMC and CaritasKlinikum Saarbrücken.

Qure.ai and CaritasKlinikum Saarbrücken have established a collaboration to accelerate innovative clinical studies, with this playbook being the first one. The Qure.ai playbook "Introducing AI to your Radiology Practice" has been developed based on the company's experiences of AI deployments across multiple imaging modalities in more than 70 countries at over 1000 sites annually impacting 4 million lives. It is a compilation of the best practices and will guide clinicians who are considering the adoption of an AI solution that will work in clinical practice.

"Artificial intelligence is one of the most positive developments in medical imaging," said Professor Dirk Pickuth, Head of the Department of Diagnostic and Interventional Radiology and Director of the Digital Innovation and Strategy Hub, CaritasKlinikum Saarbrücken. "I established the International Department of Artificial Intelligence in Medicine and Imaging (id:ai:mi). Our mission is to transform radiology from evidence-based to intelligence-based, and from volume-based to value-based."

The presentation on March 1st at 11:30am CET will cover the "AI Sparking the Cycle of Change" and will include:

  • Dr Alex Novak, RCEM Associate Professor of Emergency Medicine, Oxford University Hospitals NHS Foundation Trust
  • Professor Cem Calli, President, European Society of Emergency Radiology, Ege University Medical Faculty, Department of Radiology, Chief of Neuroradiology Section
  • Professor Dirk Pickuth, Head of the Department of Diagnostic and Interventional Radiology, Director of the Digital Innovation and Strategy Hub, CaritasKlinikum Saarbrücken
  • Dr Marwan Haddad, Head of Imaging Department, Mt Lebanon Hospital, University Medical Center

"Radiology performs a vital role at every stage in our lives, but technology such as AI presents an exciting opportunity to redefine roles and responsibilities to improve the workplace experience for all medical practitioners," said Darren Stephens, Senior Vice President & Commercial Head UK and Europe, Qure.ai. "At Qure.ai we have a large body of academic research that shows how AI can benefit clinicians and patients alike, and we are looking forward to discussing its potential with attendees at ECR."

Qure.ai will be demonstrating its lung health and neurocritical suite of solutions at the event. Its technology has been involved in numerous studies demonstrating how it can help radiologists operate as a second reader, identify and quantify lesions, and pick up incidental abnormalities. With the growing volume of medical images clinicians face, being able to rely on an AI tool eases the workload for radiologists and enables them to improve the diagnostic pathway.

If attendees at ECR 2023 would like to arrange a meeting with Qure.ai this can be at booth AI-08.

For further information, please visit:
https://qure.ai

About Qure.ai

Qure.ai is a breakthrough artificial intelligence (AI) solution provider disrupting the radiology 'status quo' by enhancing imaging accuracy and improving health outcomes with the assistance of machine-supported tools. Qure.ai taps deep learning technology to provide automated interpretation of radiology examinations like X-rays, CTs, Ultrasound, and MRI scans for time and resource-strapped medical imaging professionals - enabling faster diagnosis and speed to treatment. As a result, Qure.ai is helping to make healthcare more accessible and affordable to patients worldwide.

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