# Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-and-artificial-intelligence-research-for-patient-benefit-20/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sebastian J. Vollmer,Bilal A. Mateen,Gergő Bohner,Franz J. Király,Rayid Ghani,Páll Jónsson,Sarah Cumbers,Adrian Jonas,Katherine McAllister,Puja Myles,David Grainger,Mark Birse,Richard D. Branson,Karel G.M. Moons,Professor Gary S. Collins,John P. A. Ioannidis,Chris Holmes,Harry Hemingway |
| Citations | 484 |
| DOI | 10.1136/bmj.l6927 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1136/bmj.l6927 |
| OpenAlex ID | https://openalex.org/W3011403448 |
| PMID | 32198138 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Páll Jónsson](https://scholariq.org/researchers/pall-jonsson/)

## Paper journal

- [BMJ](https://scholariq.org/journals/bmj-2/)

## 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/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [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.