Congress of the European Society of Radiology (2022)
Albert J., Fernandez M., Thauerer M., Egger K., Gärtner F., Peters S., Hock S., Trautmann D., Opalka J.
To assess whether the AI-based system mdbrain leads to efficiency gains when used in a real-life setting.
Materials & Methods
We asked 7 radiologists from 5 sites to assess subsequent radiological images as part of their daily routine, in total 285 (128/157 with/without the system’s support, resp.). Diagnosis (Dementia/MS) and reading time were documented. Additionally, the system’s subjective influence on the radiological report was surveyed.
The median assessment time was significantly reduced by 25% when mdbrain was used (p < 0.001) equivalent to 1:56min. This reduction was significant for both diagnoses, and more pronounced for Dementia (-57%) compared to MS cases (-13%). We further observed a strong correlation between years of experience in radiology vs. reduction of reading times (R=0.76, p=0.05). Radiologists reported that mdbrain had a diagnostic impact in 118/128 AI-aided assessments. Among these cases, radiologist reported that mdbrain “reinforced their original assessment” in 76 cases, “enabled a clearer diagnosis” in 25 cases, “reported anomalies that could have been missed” in 7 cases, and “lead to confusion or less clear diagnosis” in 9 cases. Therefore, mdbrain had a positive diagnostic impact in 108 out of 128 cases (84%).
In the majority of cases (84%) the AI-based system had a positive qualitative impact on the diagnostic process. In terms of efficiency, we observed a clear drop in reading times (median -25%) whereas the effect was more pronounced in Dementia (median -57%).