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Proceedings Paper

A knowledge-based question answering system to provide cognitive assistance to radiologists
Author(s): Anup Pillai; Amin Katouzian; Karina Kanjaria; Chaitanya Shivade; Ashutosh Jadhav; Marina Bendersky; Vandana Mukherjee; Tanveer Syeda-Mahmood
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Paper Abstract

With the advent of computers and natural language processing, it is not surprising to see that humans are trying to use computers to answer questions. By the 1960s, there were systems implemented on the two major models of question answering, IR-based and knowledge-based, to answer questions about sport statistics and scientific facts. This paper reports on the development of a knowledge-based question answering system that is aimed at providing cognitive assistance to radiologists. Our system represents the question as a semantic query to a medical knowledge base. Evidence obtained from textual and imaging data associated with the question is then combined to arrive at an answer. This question answering system has 3 stages: i) question text and answer choices processing, ii) image processing, and iii) reasoning. Currently, the system can answer differential diagnosis and patient management questions, however, we can tackle a wider variety of question types by improving our medical knowledge coverage in the future.

Paper Details

Date Published: 15 March 2019
PDF: 6 pages
Proc. SPIE 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, 1095418 (15 March 2019); doi: 10.1117/12.2512000
Show Author Affiliations
Anup Pillai, IBM Research - Almaden (United States)
Amin Katouzian, IBM Research - Almaden (United States)
Karina Kanjaria, IBM Research - Almaden (United States)
Chaitanya Shivade, IBM Research - Almaden (United States)
Ashutosh Jadhav, IBM Research - Almaden (United States)
Marina Bendersky, IBM Research - Almaden (United States)
Vandana Mukherjee, IBM Research - Almaden (United States)
Tanveer Syeda-Mahmood, IBM Research - Almaden (United States)

Published in SPIE Proceedings Vol. 10954:
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications
Po-Hao Chen; Peter R. Bak, Editor(s)

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