The role of machine learning in clinical research: transforming the future of evidence generation

The role of machine learning in clinical research: transforming the future of evidence generation

Abstract Background Interest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence base for such applications has not been surveyed. This manuscript reviews the proceedings of a multi-stakeholder conference to discuss the curr...

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Bibliographic Details
Main Authors: E. Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F. Freitag, James Benoit, Michael C. Hughes, Faisal Khan, Paul Slater, Khader Shameer, Matthew Roe, Emmette Hutchison, Scott H. Kollins, Uli Broedl, Zhaoling Meng, Jennifer L. Wong, Lesley Curtis, Erich Huang, Marzyeh Ghassemi
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Trials
Subjects:
Clinical trials as topic; Machine learning
Artificial intelligence
Research design
Research ethics
Online Access:https://doi.org/10.1186/s13063-021-05489-x

Internet

https://doi.org/10.1186/s13063-021-05489-x

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