Deep-Learning Language-Modeling Approach for Automated, Personalized, and Iterative Radiology-Pathology Correlation

ConclusionsModern deep-learning language-modeling approaches are promising for radiology-pathology correlation. Because of their rapid adaptation to underlying training labels, these models advance previous artificial intelligence work in that they can be continuously improved and tuned to improve performance and adjust to user and site-level preference.
Source: Journal of the American College of Radiology - Category: Radiology Source Type: research