Task-Specific Transformer-Based Language Models in Health Care: Scoping Review.

ABSTRACT:

Background

Transformer-based language models have shown great potential to revolutionize health care by advancing clinical decision support, patient interaction, and disease prediction. However, despite their rapid development, the implementation of transformer-based language models in health care settings remains limited. This is partly due to the lack of a comprehensive review, which hinders a systematic understanding of their applications and limitations. Without clear guidelines and consolidated information, both researchers and physicians face difficulties in using these models effectively, resulting in inefficient research efforts and slow integration into clinical workflows.

Objective

This scoping review addresses this gap by examining studies on medical transformer-b

SUBMITTER: Cho HN 

PROVIDER: S-EPMC11612605 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature