Transparency in Artificial Intelligence Research: a Systematic Review of Availability Items Related to Open Science in Radiology and Nuclear Medicine.

Journal: Academic radiology
Published Date: Oct 1, 2023

Abstract

RATIONALE AND OBJECTIVES: Reproducibility of artificial intelligence (AI) research has become a growing concern. One of the fundamental reasons is the lack of transparency in data, code, and model. In this work, we aimed to systematically review the radiology and nuclear medicine papers on AI in terms of transparency and open science.

Authors

  • Burak Kocak
    Department of Radiology, Istanbul Training and Research Hospital, Istanbul, Turkey. drburakkocak@gmail.com.
  • Aytul Hande Yardimci
    Department of Radiology, Istanbul Training and Research Hospital, Istanbul, Turkey.
  • Sabahattin Yuzkan
    Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, 34480, Istanbul, Turkey.
  • Ali Keles
    Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, 34480, Istanbul, Turkey.
  • Omer Altun
    Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, 34480, Istanbul, Turkey.
  • Elif Bulut
    Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, 34480, Istanbul, Turkey.
  • Osman Nuri Bayrak
    Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, 34480, Istanbul, Turkey.
  • Ahmet Arda Okumus
    Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Basaksehir, 34480, Istanbul, Turkey.

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