Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.

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  • Additional Information
    • Affiliation:
      Koios Medical, New York, NY, USA
      Princeton University, Princeton, NJ, USA
      Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA
      University Radiology Group, East Brunswick, NJ, USA
    • Subject Terms:
    • Subject Terms:
    • Abstract:
      Ultrasound (US) is a valuable imaging modality used to detect primary breast malignancy. However, radiologists have a limited ability to distinguish between benign and malignant lesions on US, leading to false-positive and false-negative results, which limit the positive predictive value of lesions sent for biopsy (PPV3) and specificity. A recent study demonstrated that incorporating an AI-based decision support (DS) system into US image analysis could help improve US diagnostic performance. While the DS system is promising, its efficacy in terms of its impact also needs to be measured when integrated into existing clinical workflows. The current study evaluates workflow schemas for DS integration and its impact on diagnostic accuracy. The impact on two different reading methodologies, sequential and independent, was assessed. This study demonstrates significant accuracy differences between the two workflow schemas as measured by area under the receiver operating curve (AUC), as well as inter-operator variability differences as measured by Kendall's tau-b. This evaluation has practical implications on the utilization of such technologies in diagnostic environments as compared to previous studies.
    • Journal Subset:
      Allied Health; Biomedical; Computer/Information Science; Double Blind Peer Reviewed; Peer Reviewed; USA
    • ISSN:
      0897-1889
    • MEDLINE Info:
      NLM UID: 9100529
    • Publication Date:
      20190507
    • Publication Date:
      20200601
    • DOI:
      http://dx.doi.org/10.1007/s10278-018-0132-5
    • Accession Number:
      136223483
  • Citations
    • ABNT:
      JAIRAJ, A. et al. Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. Journal of Digital Imaging, [s. l.], v. 32, n. 3, p. 408–416, 2019. DOI 10.1007/s10278-018-0132-5. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=136223483. Acesso em: 4 ago. 2020.
    • AMA:
      Jairaj A, Seymour S, Barinov L, et al. Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. Journal of Digital Imaging. 2019;32(3):408-416. doi:10.1007/s10278-018-0132-5.
    • AMA11:
      Jairaj A, Seymour S, Barinov L, et al. Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. Journal of Digital Imaging. 2019;32(3):408-416. doi:10.1007/s10278-018-0132-5
    • APA:
      Jairaj, A., Seymour, S., Barinov, L., Becker, M., Lee, E., Schram, A., Goldszal, A., Paster, L., Lane, E., & Quigley, D. (2019). Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. Journal of Digital Imaging, 32(3), 408–416. https://doi.org/10.1007/s10278-018-0132-5
    • Chicago/Turabian: Author-Date:
      Jairaj, A., S Seymour, L. Barinov, M. Becker, E. Lee, A. Schram, A. Goldszal, L. Paster, E. Lane, and D. Quigley. 2019. “Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.” Journal of Digital Imaging 32 (3): 408–16. doi:10.1007/s10278-018-0132-5.
    • Harvard:
      Jairaj, A. et al. (2019) ‘Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems’, Journal of Digital Imaging, 32(3), pp. 408–416. doi: 10.1007/s10278-018-0132-5.
    • Harvard: Australian:
      Jairaj, A, Seymour, S, Barinov, L, Becker, M, Lee, E, Schram, A, Goldszal, A, Paster, L, Lane, E & Quigley, D 2019, ‘Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems’, Journal of Digital Imaging, vol. 32, no. 3, pp. 408–416, viewed 4 August 2020, .
    • MLA:
      Jairaj, A., et al. “Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.” Journal of Digital Imaging, vol. 32, no. 3, June 2019, pp. 408–416. EBSCOhost, doi:10.1007/s10278-018-0132-5.
    • Chicago/Turabian: Humanities:
      Jairaj, A., S Seymour, L. Barinov, M. Becker, E. Lee, A. Schram, A. Goldszal, L. Paster, E. Lane, and D. Quigley. “Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.” Journal of Digital Imaging 32, no. 3 (June 2019): 408–16. doi:10.1007/s10278-018-0132-5.
    • Vancouver/ICMJE:
      Jairaj A, Seymour S, Barinov L, Becker M, Lee E, Schram A, et al. Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. Journal of Digital Imaging [Internet]. 2019 Jun [cited 2020 Aug 4];32(3):408–16. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=136223483