Enhancing Clinical Trial Analysis through Large Language Models for Multi-Evidence Natural Language Inference
It is demonstrated that modern LLMs with reasoning capabilities can effectively support real-time clinical evidence synthesis without task-specific fine-tuning, offering a pathway toward scalable automated systems for clinical trial interpretation that could substantially reduce the evidence-to-practice gap in medical...