Contrastive explainable AI in healthcare: a systematic review of trends, benefits, research gaps, and future directions

BMC Medical Informatics and Decision Making · Published 2026-07-15 · DOI 10.1186/s12911-026-03697-6

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Authors (7)

Samuele Pe, Antonino Angi, Cristian Izquierdo, Enea Parimbelli, Machteld Johanna Boonstra, Folkert Wouter Asselbergs, Karim Lekadir

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Year
2026

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Pe, S., Angi, A., Izquierdo, C., et al. (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

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