Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( GPT ‐4)

Truhn, Daniel; ML Loeffler, Chiara; Müller‐Franzes, Gustav; Nebelung, Sven; Hewitt, Katherine; Brandner, Sebastian; K. Bressem, Keno; Foersch, Sebastian; Nikolas Kather, Jakob

doi:10.1002/path.6232

Public

Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( GPT ‐4)

Published in The Journal of Pathology • Dec 14, 2023

Authors:

Daniel Truhn

Chiara ML Loeffler

Gustav Müller‐Franzes

Abstract

Deep learning applied to whole-slide histopathology images (WSIs) has the potential to enhance precision oncology and alleviate the workload of experts. However, developing these models necessitates large amounts of data with ground truth labels, which can be both time-consuming and expensive to obt...

Subject

Unstructured data

Computer science

Artificial intelligence

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