AI in Healthcare: A Survey on Medical Question Answering System

Abstract

The new era of question-answering systems in information retrieval has the potential to open up previously uncharted territory soon. Information retrieval (IR) is the area of competence for Question Answering Systems. It is useful in several fields, including personal help, healthcare, finance, and education. Instead of giving document lists as retrieval systems often do, the question-answering job aims to recover brief passages of text that answer a question. The fundamental concept of the question-answering system is to emphasize human-machine interaction. It is a method for retrieving accurate answers to questions posed by people. The three separate components that make up Question Answering are Question Classification, Question Pre-processing, and Answer Retrieval. This paper provides an overview of the Question Answering system along with the usage of three basic modules with their detailed description. This study aims to present a thorough review of the state of AI-driven medical question-answering technology.

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