Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis

T. E. Sangers; T. Nijsten; M. Wakkee

doi:10.1111/jdv.17442

Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis

T. E. Sangers, T. Nijsten, M. Wakkee^*

^*Corresponding author for this work

Dermatology

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

3 Citations (Scopus)

Original language	English
Pages (from-to)	e772-e774
Journal	Journal of the European Academy of Dermatology and Venereology
Volume	35
Issue number	11
Early online date	2 Jun 2021
DOIs	https://doi.org/10.1111/jdv.17442
Publication status	Published - Nov 2021

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10.1111/jdv.17442

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title = "Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis",

author = "Sangers, {T. E.} and T. Nijsten and M. Wakkee",

note = "Funding Information: This study was initiated by the Erasmus MC Cancer Institute and was funded with an unrestricted research grant from SkinVision B.V.",

year = "2021",

month = nov,

doi = "10.1111/jdv.17442",

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journal = "Journal of the European Academy of Dermatology and Venereology",

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Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale : a retrospective cohort analysis. / Sangers, T. E.; Nijsten, T.; Wakkee, M.

In: Journal of the European Academy of Dermatology and Venereology, Vol. 35, No. 11, 11.2021, p. e772-e774.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

TY - JOUR

T1 - Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale

T2 - a retrospective cohort analysis

AU - Sangers, T. E.

AU - Nijsten, T.

AU - Wakkee, M.

N1 - Funding Information: This study was initiated by the Erasmus MC Cancer Institute and was funded with an unrestricted research grant from SkinVision B.V.

PY - 2021/11

Y1 - 2021/11

UR - http://www.scopus.com/inward/record.url?scp=85107992546&partnerID=8YFLogxK

U2 - 10.1111/jdv.17442

DO - 10.1111/jdv.17442

M3 - Comment/Letter to the editor

C2 - 34077573

AN - SCOPUS:85107992546

VL - 35

SP - e772-e774

JO - Journal of the European Academy of Dermatology and Venereology

JF - Journal of the European Academy of Dermatology and Venereology

SN - 0926-9959

IS - 11

ER -

Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis

UN SDGs

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