HIGHLIGHTS
- who: Michaela Cellina et al. from the Piazza Principessa Clotilde, Milan, Italy have published the Article: Artificial Intelligence in Emergency Radiology: Where Are We Going?, in the Journal: Diagnostics 2022, 12, 3223. of /2022/
- what: In this narrative review, the authors provide an overview of AI applications in emergency radiology, to keep radiologists up to date on the developments in this field.
- how: The results showed that a decision tree based on auto-LPDI and volumetric contrast extravasation measurements had the highest accuracy (0.84) and was a significant improvement over contrast extravasation . . .
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