Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks.

Norah L Crossnohere Mohamed I Elsaid Jonathan Paskett Seuli Bose Brill John F P Bridges

Published in: Journal of medical Internet research (2022)

Existing frameworks for the application and evaluation of AI in medicine notably offer less input on the role of engagement in oversight and regarding the translational stage of surveillance. Identifying and optimizing strategies for engagement are essential to ensure that AI can meaningfully benefit patients and other end users.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
end stage renal disease
social media
ejection fraction
newly diagnosed
public health
case report