Promising clinical applications of AI in neuroradiology
| Applications |
|---|
| Classification of abnormalities (eg, urgent findings such as hemorrhage, infarct, mass effect) |
| Detection of lesions (eg, metastases) |
| Prediction of outcome (eg, predicting final stroke volume, predicting tumor type, and prognosis) |
| Postprocessing tools (eg, brain tumor volume quantification) |
| Image reconstruction (eg, fast MR imaging, low-dose CT) |
| Image enhancement (eg, noise reduction, super-resolution) |
| Workflow (eg, automate protocol choice, optimize scanner efficiency) |