Update README.md

README.md

@@ -10,6 +10,8 @@ Performances are evaluated on three tasks:
 (b) report coding: Assign a diagnostic code to a given radiology report for five different coding systems; 
 (c) report summarization: given the findings section of a radiology report, extractively select key sentences that summarized the findings.
 
+It also shows superior performance on other radiology NLP tasks which are not reported in the paper.
+
 For details, check out the paper here: 
 [RadBERT: Adapting transformer-based language models to radiology](https://pubs.rsna.org/doi/abs/10.1148/ryai.210258)