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

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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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Authors and Affiliations

  1. Dotter Interventional Institute, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA

    James J. Morrison

  2. Department of Radiology, University of Maryland, 22 S. Greene St, Baltimore, MD, 21201, USA

    Jason M. Hostetter

  3. School of Medicine, George Washington University, 2150 Pennsylvania Ave NW, Washington, DC, WA, 20037, USA

    Abhi Aggarwal

  4. Department of Radiology, Georgetown University, 3301 New Mexico Ave NW #324, Washington, DC, WA, USA

    Ross W. Filice

  5. MedStar Georgetown University Hospital, 3800 Reservoir Road, NW CG201, Washington, DC, WA, 20007, USA

    Ross W. Filice

Authors
  1. James J. Morrison
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  2. Jason M. Hostetter
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  3. Abhi Aggarwal
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  4. Ross W. Filice
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Corresponding author

Correspondence to James J. Morrison.

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Morrison, J.J., Hostetter, J.M., Aggarwal, A. et al. Constructing a Computer-Aided Differential Diagnosis Engine from Open-Source APIs. J Digit Imaging 29, 654–657 (2016). https://doi.org/10.1007/s10278-016-9874-0

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  • DOI: https://doi.org/10.1007/s10278-016-9874-0

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