What validated tools or frameworks exist for detecting and mitigating AI/LLM hallucinations in systematic review methodology in resource constrained settings ?

I have published survey based research on AI hallucination awareness among early career medical researchers in Pakistan (medRxiv preprint live). I am seeking expert input on validated detection frameworks or mitigation strategies specifically applicable to systematic review workflows in low and middle income country research contexts where verification infrastructure is limited.