Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

Ellery Wulczyn, Kunal Nagpal, Matthew Symonds, Melissa Moran, Markus Plass, Robert Reihs, Farah Nader, Fraser Tan, Yuannan Cai, Trissia Brown, Isabelle Flament-Auvigne, Mahul B. Amin, Martin C. Stumpe, Heimo Müller, Peter Regitnig, Andreas Holzinger, Greg S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel

Open source

DOI: 10.1038/s43856-021-00005-3
Published: 2021-06-30
Container: Communications Medicine
Publisher: Springer Science and Business Media LLC
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1038/s43856-021-00005-3,
  title = {Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading},
  author = {Ellery Wulczyn and Kunal Nagpal and Matthew Symonds and Melissa Moran and Markus Plass and Robert Reihs and Farah Nader and Fraser Tan and Yuannan Cai and Trissia Brown and Isabelle Flament-Auvigne and Mahul B. Amin and Martin C. Stumpe and Heimo Müller and Peter Regitnig and Andreas Holzinger and Greg S. Corrado and Lily H. Peng and Po-Hsuan Cameron Chen and David F. Steiner and Kurt Zatloukal and Yun Liu and Craig H. Mermel},
  year = {2021},
  journal = {Communications Medicine},
  doi = {10.1038/s43856-021-00005-3},
  url = {https://doi.org/10.1038/s43856-021-00005-3}
}

RIS

TY  - JOUR
TI  - Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading
AU  - Ellery Wulczyn
AU  - Kunal Nagpal
AU  - Matthew Symonds
AU  - Melissa Moran
AU  - Markus Plass
AU  - Robert Reihs
AU  - Farah Nader
AU  - Fraser Tan
AU  - Yuannan Cai
AU  - Trissia Brown
AU  - Isabelle Flament-Auvigne
AU  - Mahul B. Amin
AU  - Martin C. Stumpe
AU  - Heimo Müller
AU  - Peter Regitnig
AU  - Andreas Holzinger
AU  - Greg S. Corrado
AU  - Lily H. Peng
AU  - Po-Hsuan Cameron Chen
AU  - David F. Steiner
AU  - Kurt Zatloukal
AU  - Yun Liu
AU  - Craig H. Mermel
PY  - 2021
JO  - Communications Medicine
DO  - 10.1038/s43856-021-00005-3
UR  - https://doi.org/10.1038/s43856-021-00005-3
ER  -

APA

Wulczyn, E., Nagpal, K., Symonds, M., Moran, M., Plass, M., Reihs, R., Nader, F., Tan, F., Cai, Y., Brown, T., Flament-Auvigne, I., Amin, M. B., Stumpe, M. C., Müller, H., Regitnig, P., Holzinger, A., Corrado, G. S., Peng, L. H., Chen, P. C., Steiner, D. F., Zatloukal, K., Liu, Y., & Mermel, C. H. (2021). Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading. Communications Medicine. https://doi.org/10.1038/s43856-021-00005-3

Source records

crossref · retrieved 2026-09-27T01:33:25.200Z