Automated decision making in Barrett’s oesophagus: development and deployment of a natural language processing tool

Automated decision making in Barrett’s oesophagus: development and deployment of a natural language processing tool

Abstract Manual decisions regarding the timing of surveillance endoscopy for premalignant Barrett’s oesophagus (BO) is error-prone. This leads to inefficient resource usage and safety risks. To automate decision-making, we fine-tuned Bidirectional Encoder Representations from Transformers (BERT) mod...

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Détails bibliographiques
Auteurs principaux: Agathe Zecevic, Laurence Jackson, Xinyue Zhang, Polychronis Pavlidis, Jason Dunn, Nigel Trudgill, Shahd Ahmed, Pierfrancesco Visaggi, Zanil YoonusNizar, Angus Roberts, Sebastian S. Zeki
Format: Article
Langue:English
Publié: Nature Portfolio 2024-11-01
Collection:npj Digital Medicine
Accès en ligne:https://doi.org/10.1038/s41746-024-01302-6

Internet

https://doi.org/10.1038/s41746-024-01302-6

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