The synergy between AI and radiologist in advancing digital mammography: comparative study between stand-alone radiologist and concurrent use of artificial intelligence in BIRADS 4 and 5 female patients
Abstract Background Recent significant advancements in speed and machine learning have profoundly changed artificial intelligence (AI). In order to evaluate the value of AI in the detection and diagnosis of BIRADS 4 and 5 breast lesions visible on digital mammography pictures, we compared it to a ra...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-11-01
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Series: | The Egyptian Journal of Radiology and Nuclear Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43055-023-01136-4 |