Update README.md

README.md

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 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
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-## Training and evaluation data
-
-More information needed
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-## Training procedure
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-### Training hyperparameters
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-The following hyperparameters were used during training:
-
-| Hyperparameters | Value |
-| :-- | :-- |
-| name | Adam |
-| learning_rate | 0.001 |
-| decay | 0.0 |
-| beta_1 | 0.9 |
-| beta_2 | 0.999 |
-| epsilon | 1e-07 |
-| amsgrad | False |
-| training_precision | float32 |
+We present this model in relation to previous work by [Oakden-Rayner et al.](https://arxiv.org/abs/1909.12475) and [Jiménez-Sánchez et al.](https://arxiv.org/abs/2211.04279), discussing the issue of hidden features in medical images which tend to confuse machine learning models on the task of pathology detection. 
+They studied model performance on pneumothorax cases, which they find to depend on the presence of chest drains that are used for treatment of the pathology.
+We developed this model as a *chest drain detector* in chest X-rays.
 
+More details on our study as well as code and data is available [here](https://github.com/trer2547/DrainDetection_ChestXrays).