# Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-intelligence-in-healthcare-perspectives-on-trustworthiness/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Christine M. Cutillo,Karlie R. Sharma,Luca Foschini,Shinjini Kundu,Maxine Mackintosh,Kenneth D. Mandl,MI in Healthcare Workshop Working Group,T. Beck,Elaine Collier,Christine M. Colvis,Kenneth Gersing,Valery Gordon,Roxanne E. Jensen,Behrouz N. Shabestari,Noel Southall |
| Citations | 332 |
| DOI | 10.1038/s41746-020-0254-2 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-020-0254-2.pdf |
| OpenAlex ID | https://openalex.org/W3013443134 |
| PMID | 32258429 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Roxanne E. Jensen](https://scholariq.org/researchers/roxanne-e-jensen/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## 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/)
- [Ethics in Clinical Research](https://scholariq.org/topics/ethics-in-clinical-research/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

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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.