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Published on: August 30, 2013
How much radiologist time can be saved by implementing AI in screen-reading mammograms?
Tone Hovda1, Åsne S Holen2, Solveig Hofvind3,4
1Department of Radiology, Vestre Viken Hospital Trust, Drammen, Norway.
Artificial intelligence (AI) can reduce the workload for breast radiologists by 50% in mammographic screening. However, this AI implementation has a moderate impact on their overall workload, with potential benefits in cancer detection sensitivity.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- Shortage of breast radiologists in Norway and Europe.
- Artificial intelligence (AI) shows promise in cancer detection in mammography.
- Screen-reading mammograms involves two radiologists per screening.
Purpose of the Study:
- To estimate the workload reduction for radiologists by replacing one human reader with AI in BreastScreen Norway.
- To quantify the impact of AI on radiologists' time spent on mammographic screening.
Main Methods:
- Analysis of radiologist positions and screening data from 16 Norwegian breast centers in 2024.
- Calculation of screen-reading workload (1 minute per read) and time saved with AI.
- Utilized data from BreastScreen Norway, a national mammography screening program.
Main Results:
- Screen-reading in BreastScreen Norway requires 6.5 man-years.
- Replacing one radiologist with AI could reduce workload by 50% (to 3.3 man-years).
- This reduction represents 4.5% of the total workload for radiologists.
Conclusions:
- AI implementation in mammographic screening can decrease radiologists' screen-reading workload.
- The impact on the overall workload for breast radiologists is moderate.
- Potential benefits of AI in mammography may lie in enhanced screening sensitivity rather than significant time savings.
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