Contrastive explainable AI in healthcare: a systematic review of trends, benefits, research gaps, and future directions
- DOI
- 10.1186/s12911-026-03697-6
- Published
- 2026-07-15
- Container
- BMC Medical Informatics and Decision Making
- 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.
- 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:10.1186/s12911-026-03697-6,
title = {Contrastive explainable AI in healthcare: a systematic review of trends, benefits, research gaps, and future directions},
author = {Samuele Pe and Antonino Angi and Cristian Izquierdo and Enea Parimbelli and Machteld Johanna Boonstra and Folkert Wouter Asselbergs and Karim Lekadir},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03697-6},
url = {https://doi.org/10.1186/s12911-026-03697-6}
}RIS
TY - JOUR TI - Contrastive explainable AI in healthcare: a systematic review of trends, benefits, research gaps, and future directions AU - Samuele Pe AU - Antonino Angi AU - Cristian Izquierdo AU - Enea Parimbelli AU - Machteld Johanna Boonstra AU - Folkert Wouter Asselbergs AU - Karim Lekadir PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03697-6 UR - https://doi.org/10.1186/s12911-026-03697-6 ER -
APA
Pe, S., Angi, A., Izquierdo, C., Parimbelli, E., Boonstra, M. J., Asselbergs, F. W., & Lekadir, K. (2026). Contrastive explainable AI in healthcare: a systematic review of trends, benefits, research gaps, and future directions. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03697-6
Source records
- crossref · retrieved 2026-09-25T21:44:38.309Z