A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence.

Mutlu DemirerSema CandemirMatthew T BigelowSarah M YuVikash Gupta Luciano M PrevedelloRichard D WhiteJoseph S YuRainer GrimmerMichael WelsAndreas WimmerAbdul H HalabiAlvin IhsaniThomas P O'Donnell Barbaros Selnur Erdal

Published in: Radiology. Artificial intelligence (2019)

GUI-component compatibility with common image analysis tools facilitates radiologist engagement in image data curation, including image annotation, supporting AI application development and evolution for medical imaging. When complemented by other GUI elements, a continuous integrated workflow supporting formation of an agile deep neural network life cycle results.Supplemental material is available for this article.© RSNA, 2019.

Keyphrases

artificial intelligence
deep learning
big data
neural network
life cycle
electronic health record
machine learning
social media
healthcare
data analysis
rna seq
fluorescence imaging
photodynamic therapy
single cell