Featuring how to combat burnout with teleradiology, the benefit of combining AI with human input, and the RSNA’s annual AI competition.
Last month, a report in Diagnostic Imaging explored the very real issue of burnout among American radiologists. With complex cases and imaging volume rising all the time, radiologists are increasingly expected to work more efficiently, and this growing pressure means that around one in two are now reporting feelings of burnout. The report explores how developments in teleradiology and artificial intelligence can help lower the stress burden on radiologists by enabling remote working, and through the automation and prioritization of time-consuming routine tasks.
Another interesting September article reported on the views of medical experts who expressed the need to be cautious around the role of AI in healthcare. The key observation being that the limitations of AI dictate that it should primarily be used for specific tasks in partnership with humans, rather than to take on a broader, more independent remit.
In other news, the RSNA has officially launched its third annual AI competition, with $25,000 on offer for the winning entries. This year, entrants are being asked to create AI algorithms that can identify haemorrhages on head CT scans and classify the specific subtype. Interested in getting involved? Don’t delay! The first wave of data has already been shared and the competition runs until mid-November.
And finally, in September we hosted a successful webinar that brought together our CEO, Ben Panter and the PACSMan himself, Michael J Cannavo, who provided their insight on AI and its implications for radiology departments. Together, they shone a light on the costs associated with AI, explored different approaches to its implementation, and how it can be used to drive new revenue.
Stay tuned for more industry news next month!