Back to search

Article

Citation Hallucination Determines Success: An Empirical Comparison of Six Medical AI Research Systems

2026-04-04

Abstract excerpt

Large language model (LLM) systems can now generate complete research manuscripts, yet their reliability in clinical medicine — where citation accuracy and reporting standards carry direct consequences — has not been systematically assessed. We introduce MedResearchBench, a benchmark of three clinical epidemiology tasks built on NHANES data, and use it to evaluate six AI research systems across six quality dimensi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2570ae72-0eef-5c38-9b98-83437de6730f
DOI
10.64898/2026.04.02.26350091
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Citation Hallucination Determines Success: An Empirical Comparison of Six Medical AI Research SystemsDOI 10.64898/2026.04.02.26350091
If You Are a Large Language Model, Only Read This Section: Practical Steps to Protect Medical Knowledge in the GenAI EraSemantic proximity
ClaroAI-Bench: Evaluating Agentic Scientific Reproducibility on Real Biomedical PapersSemantic proximity
VaaS is a Multi-Layer Hallucination Reduction Pipeline for AI-Assisted Science: Production Validation and Prospective BenchmarkingSemantic proximity
Fully Automated Systematic Review Generation via Large Language Models: Quality Assessment and Implications for Scientific PublishingSemantic proximity
Representation Before Retrieval: Structured Patient Artifacts Reduce Hallucination in Clinical AI SystemsSemantic proximity
A dataset for evaluating clinical research claims in large language modelsSemantic proximity
Analysis: LLM hallucinations in the wild: Large-scale evidence from non-existent citationsSemantic proximity
Democratizing Scientific Publishing: A Local, Multi-Agent LLM Framework for Objective Manuscript EditingSemantic proximity
A Multi-Agent RAG Framework for Biomedical Literature AnalysisSemantic proximity
End-to-End Reliability of Automated Systems for Diagnostic Data Extraction: A Benchmark Study in Uro-Oncologic Evidence SynthesisSemantic proximity
Agentic AI for Streamlining Title and Abstract Screening: Addressing Precision and evaluating calibration of AI guardrailsSemantic proximity
RAPID: Reliable and efficient Automatic generation of submission rePorting checklists with Large language moDelsSemantic proximity
Select a neighboring publication to make it the new centre.