disi-unibo-nlp/medgenie
The First Generate-then-Read Framework for Multiple-Choice Question Answering in Medicine
This project helps medical professionals, students, or researchers efficiently answer complex medical multiple-choice questions. It takes a medical question with multiple options as input, generates relevant medical context specifically for that question, and then uses that context to select the most accurate answer. This is designed for anyone needing highly accurate answers to medical questions, such as those studying for medical exams or needing quick, reliable information.
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Use this if you need to accurately answer medical multiple-choice questions by leveraging automatically generated, highly relevant background information, outperforming traditional search-based methods.
Not ideal if you need to answer open-ended medical questions that don't have predefined multiple-choice options, or if you are looking for general conversational AI.
Stars
13
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2
Language
Python
License
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Category
Last pushed
May 27, 2024
Commits (30d)
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