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AI and STROKE: Evidence on Software Performance in a Real-world Setting
Jun 26, 2025, 13:17

AI and STROKE: Evidence on Software Performance in a Real-world Setting

Stroke AHA/ASA Journal recently posted on X:

”STROKE: This topical review by Aziz et al. on automated vessel occlusion software discusses emerging evidence of their utility, underlying algorithms, real-world diagnostic performance, and limitations | AHAJournals”

AI and STROKE: Evidence on Software Performance in a Real-world Setting

Read the full article here.

AI‑Powered Stroke Assessment – sounds promising, right?

But aren’t you surprised by the lack of data on how the software actually works, who is using it, and where the evidence of its utility in a real‑world setting is?

Here come Yasmin N. Aziz, Department of Neurology and Rehabilitation Medicine, University of Cincinnati, et al. to clear the dust from your eyes with a brilliant educational review of automated vessel occlusion software.

 

More updates on the use of AI and deep learning in medicine are coming in Hemostasis Today.