The Case for User-Centered Artificial Intelligence in Radiology.

Published in: Radiology. Artificial intelligence (2020)

Past technology transition successes and failures have demonstrated the importance of user-centered design and the science of human factors; these approaches will be critical to the success of artificial intelligence in radiology.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
endothelial cells
public health
induced pluripotent stem cells
pluripotent stem cells