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@@ -11,27 +11,6 @@ tags:
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  - question-answering
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  - fusion-in-decoder
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  pipeline_tag: question-answering
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- widget:
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- - text: >-
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- A junior orthopaedic surgery resident is completing a carpal tunnel repair
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- with the department chairman as the attending physician. During the case,
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- the resident inadvertently cuts a flexor tendon. The tendon is repaired
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- without complication. The attending tells the resident that the patient will
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- do fine, and there is no need to report this minor complication that will
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- not harm the patient, as he does not want to make the patient worry
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- unnecessarily. He tells the resident to leave this complication out of the
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- operative report. Which of the following is the correct next action for the
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- resident to take? A. Disclose the error to the patient and put it in the
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- operative report B. Tell the attending that he cannot fail to disclose this
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- mistake C. Report the physician to the ethics committee D. Refuse to dictate
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- the operative reporty.
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- context: >-
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- Inadvertent Cutting of Tendon is a complication, it should be in the
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- Operative Reports The resident must put this complication in the operative
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- report and disscuss it with the patient. If there was no harm to the patent
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- and correction was done then theres nothing major for worry. But disclosing
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- this as per ethical guidelines, is mandatory
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- example_title: Example 1
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  ---
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  # Model Card for MedGENIE-fid-flan-t5-base-medqa
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@@ -43,7 +22,7 @@ MedGENIE comprises a collection of language models designed to utilize generated
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  - **License:** MIT
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  - **Finetuned from model:** [google/flan-t5-base](https://huggingface.co/google/flan-t5-base)
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  - **Repository:** https://github.com/disi-unibo-nlp/medgenie
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- - **Paper:** SOON
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  ## Performance
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  - question-answering
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  - fusion-in-decoder
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  pipeline_tag: question-answering
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for MedGENIE-fid-flan-t5-base-medqa
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  - **License:** MIT
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  - **Finetuned from model:** [google/flan-t5-base](https://huggingface.co/google/flan-t5-base)
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  - **Repository:** https://github.com/disi-unibo-nlp/medgenie
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+ - **Paper:** [To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering](https://arxiv.org/abs/2403.01924)
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  ## Performance
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