Clinical risk prediction models: the canary in the coalmine for artificial intelligence in healthcare?

Videha Sharma, Angela Davies, John Ainsworth

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	BMJ Health & Care Informatics
DOIs	https://doi.org/10.1136/bmjhci-2021-100421
Publication status	Published - Oct 2021
Externally published	Yes

Keywords

risk prediction
artificial intelligence
healthcare

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1136/bmjhci-2021-100421

Other files and links

https://doi.org/10.1136/bmjhci-2021-100421

Cite this

@article{e546138e8c30434db434f2d68c3bca27,

title = "Clinical risk prediction models: the canary in the coalmine for artificial intelligence in healthcare?",

keywords = "risk prediction, artificial intelligence, healthcare",

author = "Videha Sharma and Angela Davies and John Ainsworth",

year = "2021",

month = oct,

doi = "10.1136/bmjhci-2021-100421",

language = "English",

journal = "BMJ Health & Care Informatics",

issn = "2632-1009",

publisher = "BMJ ",

}

TY - JOUR

T1 - Clinical risk prediction models: the canary in the coalmine for artificial intelligence in healthcare?

AU - Sharma, Videha

AU - Davies, Angela

AU - Ainsworth, John

PY - 2021/10

Y1 - 2021/10

KW - risk prediction

KW - artificial intelligence

KW - healthcare

UR - https://doi.org/10.1136/bmjhci-2021-100421

U2 - 10.1136/bmjhci-2021-100421

DO - 10.1136/bmjhci-2021-100421

M3 - Article

SN - 2632-1009

JO - BMJ Health & Care Informatics

JF - BMJ Health & Care Informatics

ER -