Article info
Extended essay
Randomised controlled trials in medical AI: ethical considerations
- Correspondence to Thomas Grote, Ethics and Philosophy Lab, University of Tübingen, Tübingen D-72076, Germany; thomas.grote{at}uni-tuebingen.de
Citation
Randomised controlled trials in medical AI: ethical considerations
Publication history
- Received December 14, 2020
- Revised March 30, 2021
- Accepted April 8, 2021
- First published May 14, 2021.
Online issue publication
October 31, 2022
Article Versions
- Previous version (14 May 2021).
- You are viewing the most recent version of this article.
Request permissions
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Copyright information
© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.
Other content recommended for you
- Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis
- Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?
- Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI
- Limits of trust in medical AI
- Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images
- Design publicity of black box algorithms: a support to the epistemic and ethical justifications of medical AI systems
- Framing the challenges of artificial intelligence in medicine
- Evaluation framework to guide implementation of AI systems into healthcare settings
- Computer knows best? The need for value-flexibility in medical AI
- Trustworthy medical AI systems need to know when they don’t know