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A scoping review of large language model based approaches for information extraction from radiology reports

Medicine and Health

A scoping review of large language model based approaches for information extraction from radiology reports

D. Reichenpfader, H. Müller, et al.

Discover how the research conducted by Daniel Reichenpfader, Henning Müller, and Kerstin Denecke explores the potential of Natural Language Processing in extracting structured data from radiology reports. This insightful scoping review uncovers challenges, validations, and the rise of Large Language Models in this critical field.

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