(Sponsored Article)
AI and machine learning are set to disrupt the practice of radiology. How and to what extent, we do not yet fully know. What does the ideal combination of radiologists and machine learning look like? Who is in the driver’s seat and when? Using a case of prostate cancer as a clinical example, Sectra asked radiologists in Scandinavia, Benelux, and the US for their perspectives on machine learning in radiology.
What do radiologists think are the right tasks for machine learning applications? Where on a scale between supportive workflow-related tasks and making diagnostic decisions do radiologists see a value in machine learning applications? Can the results from machine learning algorithms be trusted?
To discuss further, join Sectra at CAR 2018 where we will showcase our enterprise imaging offering for radiology with Sectra VNA and our Best-in-KLAS awarded PACS at its core.
Book a meeting with Sectra at CAR 2018
About Sectra
With more than 25 years of innovation and 1,700 installations, Sectra is a leading global provider of imaging IT solutions that support healthcare in achieving patient-centric care. Sectra offers an Enterprise Image Management solution comprising PACS for imaging-intense departments (radiology, breast imaging, pathology, cardiology, orthopaedics), VNA and Cross Enterprise Workflow solutions. For the fifth consecutive year in the US and the fourth consecutive year globally, Sectra PACS has been awarded ‘Best in KLAS’ for highest customer satisfaction.
In September 2017, Sectra opened a new country operation in Canada, it has invested in and is now committed to the Canadian market.