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

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 current and f...

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Vydáno v:	Current controlled trials in cardiovascular medicine Ročník 22; číslo 1; s. 537 - 15
Hlavní autoři:	Weissler, E. Hope, Naumann, Tristan, Andersson, Tomas, Ranganath, Rajesh, Elemento, Olivier, Luo, Yuan, Freitag, Daniel F., Benoit, James, Hughes, Michael C., Khan, Faisal, Slater, Paul, Shameer, Khader, Roe, Matthew, Hutchison, Emmette, Kollins, Scott H., Broedl, Uli, Meng, Zhaoling, Wong, Jennifer L., Curtis, Lesley, Huang, Erich, Ghassemi, Marzyeh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 16.08.2021 BioMed Central Ltd Springer Nature B.V BMC
Témata:	Artificial Intelligence Biomedicine Breast cancer Clinical trials Clinical trials as topic; Machine learning Collaboration Commentary Datasets Health Sciences Humans Machine Learning Mathematical models Medical research Medicine Medicine & Public Health Medicine, Experimental Methods Natural language processing Neural networks Patients R&D Regulatory approval Research & development Research design Research ethics Statistics for Life Sciences Technology application United States United States Food and Drug Administration United States Research ethics Research design Clinical trials as topic; Machine learning Artificial intelligence
ISSN:	1745-6215, 1745-6215
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