Videos | Artificial Intelligence | January 13, 2022

VIDEO: Examples of Artificial Intelligence PE Response Team Apps

Here are two examples of artificial intelligence (AI) driven pulmonary embolism (PE) response team apps featured by vendors Aidoc and Viz.AI at the 2021 Radiological Society of North America (RSNA) 2021 meeting.

The AI scans computed tomography (CT) image datasets as they came off the imaging system and looked for evidence of PE. If detected by the algorithm, it immediately sends an alert to the stroke care team members via smartphone messaging. This is done before the images are even loaded into the PACS. The radiologist on the team can use a link on the app to open the CT dataset and has basic tools for scrolling, windowing and leveling to determine if there is a PE and the severity. The team can then use the app to send messages, access patient information, imaging and reports. This enabled them all to be on the same page and can communicate quickly via mobile devices, rather than being required to use dedicated workstations in the hospital. 

Both vendors showed similar apps for stroke at RSNA 2019. That idea for rapid alerts, diagnosis and communications for acute care teams has now expanded to PE and also for aortic dissection and abdominal aortic aneurysms (AAA). AI.Viz and Aidoc are looking at expanding this type of technology for other acute care team rolls, including heart failure response. 

Read more about this technology in the article AI Can Facilitate Automated Activation of Pulmonary Embolism Response Teams.

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