Published on in Vol 9, No 2 (2021): February
![Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study](https://asset.jmir.pub/assets/548592970f43b97d29b617253a315852.png 480w,https://asset.jmir.pub/assets/548592970f43b97d29b617253a315852.png 960w,https://asset.jmir.pub/assets/548592970f43b97d29b617253a315852.png 1920w,https://asset.jmir.pub/assets/548592970f43b97d29b617253a315852.png 2500w)
1 German Cancer Research Center (DKFZ), Heidelberg, Germany
2 Partner Site Heidelberg, German Cancer Consortium (DKTK), Heidelberg, Germany
3 Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
4 Heidelberg University, Heidelberg, Germany
5 Hochschule Mannheim, University of Applied Sciences, Mannheim, Germany
6 Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen, Essen, Germany
*these authors contributed equally