Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study
- DOI
- 10.1016/j.landig.2026.101042
- Published
- 2026-11
- Container
- The Lancet Digital Health
- Publisher
- Elsevier BV
- 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.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.landig.2026.101042,
title = {Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study},
author = {George Joy and Karan Punjabi and George Searle and Zaid Abdulelah and Tuguldur Gantur and Iain Pierce and George D Thornton and Benjamin Meredith and Hunain Shiwani and Miles Curtis and Shane Cashin and João B Augusto and Inês Miranda and Marianna Fontana and Peter Kellman and James P Howard and Matthew Shun-Shin and Thomas A Treibel and Charlotte Manisty and Michele Orini and Erik B Schelbert and Alun D Hughes and James C Moon and Rhodri H Davies},
year = {2026},
journal = {The Lancet Digital Health},
doi = {10.1016/j.landig.2026.101042},
url = {https://doi.org/10.1016/j.landig.2026.101042}
}RIS
TY - JOUR TI - Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study AU - George Joy AU - Karan Punjabi AU - George Searle AU - Zaid Abdulelah AU - Tuguldur Gantur AU - Iain Pierce AU - George D Thornton AU - Benjamin Meredith AU - Hunain Shiwani AU - Miles Curtis AU - Shane Cashin AU - João B Augusto AU - Inês Miranda AU - Marianna Fontana AU - Peter Kellman AU - James P Howard AU - Matthew Shun-Shin AU - Thomas A Treibel AU - Charlotte Manisty AU - Michele Orini AU - Erik B Schelbert AU - Alun D Hughes AU - James C Moon AU - Rhodri H Davies PY - 2026 JO - The Lancet Digital Health DO - 10.1016/j.landig.2026.101042 UR - https://doi.org/10.1016/j.landig.2026.101042 ER -
APA
Joy, G., Punjabi, K., Searle, G., Abdulelah, Z., Gantur, T., Pierce, I., Thornton, G. D., Meredith, B., Shiwani, H., Curtis, M., Cashin, S., Augusto, J. B., Miranda, I., Fontana, M., Kellman, P., Howard, J. P., Shun-Shin, M., Treibel, T. A., Manisty, C., Orini, M., Schelbert, E. B., Hughes, A. D., Moon, J. C., & Davies, R. H. (2026). Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study. The Lancet Digital Health. https://doi.org/10.1016/j.landig.2026.101042
Source records
- crossref · retrieved 2026-11-03T21:55:33.106Z