Contrastive explainable AI in healthcare: a systematic review.
Healthcare AI transparency methods need standardization and real-world testing before clinical deployment, highlighting an important gap.
Systematic review of contrastive XAI in healthcare reveals limited standardization and predominantly proof-of-concept applications with gaps in prospective clinical validation. This record was retained from the prior triage attempt for PubMed pipeline handoff.
What the study was
- Study design
- systematic review
- Category
- ai_ml_diagnostics
- Maturity
- Validated
- Journal
- BMC Med Inform Decis Mak
Why it surfaced
Systematic review of a growing XAI paradigm (contrastive explanation) for healthcare AI adoption, relevant to clinical trust and regulatory approval of AI diagnostic tools.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.