Constructing a Computer-Aided Differential Diagnosis Engine from Open-Source APIs

James J. Morrison; Jason M. Hostetter; Abhi Aggarwal; Ross W. Filice

doi:10.1007/s10278-016-9874-0

Constructing a Computer-Aided Differential Diagnosis Engine from Open-Source APIs

James J. Morrison, Jason M. Hostetter, Abhi Aggarwal, Ross W. Filice

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This paper describes the design and implementation of an application that parses and analyzes radiology report text to provide a radiologic differential diagnosis. The system was constructed using a combination of freely available web-based APIs and originally developed during the Society for Imaging Informatics in Medicine (SIIM) 2014 Hackathon. Continued development has refined and increased the accuracy of the algorithm. This project demonstrates the power and possibilities of combining existing technologies to solve unique problems as well as the stimulus of the hackathon setting to spur innovation.

Original language	English (US)
Pages (from-to)	654-657
Number of pages	4
Journal	Journal of Digital Imaging
Volume	29
Issue number	6
DOIs	https://doi.org/10.1007/s10278-016-9874-0
State	Published - Dec 1 2016
Externally published	Yes

Keywords

Computer-aided diagnosis (CAD)
Decision support
Interpretation
Web technology

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Science Applications

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10.1007/s10278-016-9874-0

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abstract = "This paper describes the design and implementation of an application that parses and analyzes radiology report text to provide a radiologic differential diagnosis. The system was constructed using a combination of freely available web-based APIs and originally developed during the Society for Imaging Informatics in Medicine (SIIM) 2014 Hackathon. Continued development has refined and increased the accuracy of the algorithm. This project demonstrates the power and possibilities of combining existing technologies to solve unique problems as well as the stimulus of the hackathon setting to spur innovation.",

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AU - Aggarwal, Abhi

AU - Filice, Ross W.

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AB - This paper describes the design and implementation of an application that parses and analyzes radiology report text to provide a radiologic differential diagnosis. The system was constructed using a combination of freely available web-based APIs and originally developed during the Society for Imaging Informatics in Medicine (SIIM) 2014 Hackathon. Continued development has refined and increased the accuracy of the algorithm. This project demonstrates the power and possibilities of combining existing technologies to solve unique problems as well as the stimulus of the hackathon setting to spur innovation.

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KW - Interpretation

KW - Web technology

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Constructing a Computer-Aided Differential Diagnosis Engine from Open-Source APIs

Abstract

Keywords

ASJC Scopus subject areas

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