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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-role-of-machine-learning-in-clinical-research-transforming-the-future-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | E. Hope Weissler,Tristan Naumann,Tomas Andersson,Rajesh Ranganath,Olivier Elemento,Yuan Luo,Daniel F. Freitag,James Benoit,Michael C. Hughes,Faisal M. Khan,Paul Slater,Khader Shameer,Matthew T. Roe,Emmette R. Hutchison,Scott H. Kollins,Uli C. Broedl,Zhaoling Meng,Jennifer Wong,Lesley H. Curtis,Erich Huang,Marzyeh Ghassemi |
| Citations | 288 |
| DOI | 10.1186/s13063-021-05489-x |
| Fields | Computer Science,Decision Sciences,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://trialsjournal.biomedcentral.com/track/pdf/10.1186/s13063-021-05489-x |
| OpenAlex ID | https://openalex.org/W3195505129 |
| PMID | 34399832 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Emmette R. Hutchison](https://scholariq.org/researchers/emmette-r-hutchison/)
- [Uli C. Broedl](https://scholariq.org/researchers/uli-c-broedl/)

## Paper journal

- [Trials](https://scholariq.org/journals/trials/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
