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The hype around AI is slowly starting to fade and something a lot more exciting is emerging; the first AI solutions that create value in your clinical practice. The Artificial Intelligence Exhibition (AIX) at ECR 2019 will be a fantastic opportunity to assess the solutions that fit your team and patient needs. At AIX, you will have the opportunity to hear from vendors like Aidence on what is required to implement AI at your hospital.

AI adoption is a journey of aligning the right group of people who can create an impact on efficiency and quality; Aidence encourages radiologists to be the champions of this journey. Aidence brings together radiologists, developers and scientists to build Veye, their intuitive AI solution for medical image analysis. The Aidence team works from Amsterdam and released its first CE certified solution Veye Chest. Aidence’s vision is to design solutions that are automated, guideline driven and deeply embedded in your existing workflow. All three of these aspects are crucial to drive adoption:

  • Automation of repetitive and error-prone tasks supports radiologists and reduces workload, clicks and waiting times.
  • Guideline based results empower radiologists to improve correct follow up and decrease variation in reporting.
  • Lastly, computer-aided support should seamlessly integrate into the workflow. Aidence believes radiologists already have that user-interface; their PACS environment.

At ECR 2019 and AIX, Aidence will showcase Veye Chest, their automated nodule management assistant on CT Chest. Detecting, measuring and tracking nodule growth are crucial but time-consuming steps in the diagnosis and treatment of lung cancer. By automating these steps they allow the radiologist to focus their attention on more complex cases and patient care. Veye Chest is CE certified as a second or concurrent user and adds value, both in routine clinical practice and in a screening setting.

Veye Chest is used by Aidence’s early adopters in the Netherlands, Sweden and the United Kingdom as part of their clinical practice. To get to this stage, they learned that adoption of AI goes beyond designing and validating the technology. Specifically, in this early market stage there is a lot of uncertainty around AI. To drive successful adoption requires dedicated ownership of the process. Aidence believes that radiologists are the best positioned to take this ownership.

There are several things that contribute to adoption success, according to the company’s philosophy. First of all, it is about selecting the right problem to solve for your hospital. If we look at history, technology development and adoption take time and effort. Take the CT modality as an example: the first mathematical principles were published in the year 1917 and it has evolved ever since and the same applies to AI; it will not replace radiologists anytime soon. The ideal use case where AI can make an impact today is in supporting routine tasks of a low/medium complexity, which are time-consuming and error prone for the radiologist. Second, the impact of adoption goes beyond the clinical team. Many stakeholders outside the radiology department need to be involved, such as referring physicians, IT managers, privacy officers and budget holders. Their job performance is often measured on outcomes related to maintaining business continuity and avoiding risk. In the adoption of new technology it is important to answer the questions they have, and create success for all stakeholders.The adoption journey is crucial to establish future AI-readiness in your department and hospital. Aidence encourages the radiologists to be the champions of this journey and take ownership.

  • Understand the problem you would like to solve.
  • Engage your team beyond the radiology department and help them get the right answers to their questions.

AIX is a great opportunity to start learning more! Visit Aidence at booth AI-18 at ECR 2019 to continue the conversation!


* Contents provided by Aidence and adapted by the ESR office

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