Publications by authors named "T Rusche"
Article Synopsis
- Assessment of MS lesions via MRI is usually time-consuming, and the study explores how AI can make this process more efficient for radiologists.* -
- The study involved evaluating MRIs of 35 MS patients, revealing that AI assistance reduced the reading time significantly during follow-ups, while baseline readings showed minimal improvement.* -
- Overall, results indicate that AI can considerably shorten the time needed to assess MRIs for MS, suggesting a more efficient approach for radiologists.*
Article Synopsis
- * Data from 459 patients with vessel perforation showed a 90-day mortality rate of 51.9%, with only 16.3% achieving a favorable recovery (mRS 0-2).
- * The findings indicate that large vessel perforation leads to worse outcomes, while thrombolysis doesn’t worsen prognoses; quick management of bleeding is crucial for survival.
Objective: Intracerebral hemorrhage (ICH) has a high mortality and long-term morbidity and thus has a significant overall health-economic impact. Outcomes are especially poor if the exact onset is unknown, but reliable imaging-based methods for onset estimation have not been established. We hypothesized that onset prediction of patients with ICH using artificial intelligence (AI) may be more accurate than human readers.
View Article and Find Full Text PDF