The study addressed a range of factors influencing MS diagnostics. Regarding the time radiologists spend on each examination at the screen, a significant reduction of an average of 210 seconds was observed. This efficiency gain allows radiologists to use their time more effectively, focusing on more demanding tasks since routine tasks like lesion counting are automated. These results were confirmed by a study published in the European Journal of Radiology (2024) by a research group from the University Hospital Schlwesig-Holstein .
The importance of this is underscored by the high accuracy in lesion detection, particularly in complex cases with numerous or confluent lesions. Additionally, according to the study, mdbrain enables faster and more objective decisions about the necessity of contrast media, potentially reducing unnecessary contrast applications.
Automatically generated structured reports significantly improve communication between radiologists, patients, and clinical physicians. Good documentation facilitates the exchange of information and minimizes misunderstandings, contributing to better overall patient care.
Despite these numerous advantages, the study also highlights some challenges and limitations. In areas of the brain prone to artifacts, a critical review of AI results by experienced radiologists is recommended to avoid false positives.
If you are interested in the study's details, you can access the publication via the following link:
