LLM tool INSPECT-AI enhances research integrity assessments for clinical trials

Researchers have developed INSPECT-AI, a new LLM-assisted tool designed to enhance the transparency and efficiency of research integrity assessments for randomized clinical trials (RCTs). This tool works in conjunction with the INSPECT-SR framework and the Research Integrity Provenance and Evidence ontology (RIPE-O) to document the assessment process. An initial knowledge graph, RIPE-KG, has been created, containing 140 expert assessments of 95 RCT publications. AI

IMPACT This tool could improve the reliability and transparency of evidence used in clinical care guidelines by streamlining the assessment of research integrity.

RANK_REASON The cluster describes a research paper detailing a new LLM-assisted tool for research integrity assessments. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Hugging Face
• INSPECT-AI
• INSPECT-SR
• LLM
• RIPE-KG

• paper
• product

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