From Prompt Optimization to Multi-Dimensional Credibility Evaluation: Enhancing Trustworthiness of Chinese LLM-Generated Liver MRI Reports -- with Preliminary Extension to Lung Cancer

1. 1Optimize prompts for LLMs using clinical context and terminology to generate accurate diagnostic conclusions
2. 2Evaluate the credibility of LLM-generated reports using multi-dimensional frameworks
3. 3Apply credibility evaluation frameworks to different clinical contexts, such as liver MRI and lung cancer reports
4. 4Configure LLMs to generate reports with standardized formatting and content
5. 5Test and validate the trustworthiness of LLM-generated reports using expert feedback and evaluation metrics

Radiologists, medical researchers, and AI engineers can benefit from this knowledge to improve the accuracy and reliability of LLM-generated reports

💡 Optimizing prompts and evaluating credibility are crucial steps in enhancing the trustworthiness of LLM-generated medical reports

📊 Enhance trustworthiness of LLM-generated medical reports with optimized prompts and credibility evaluation #LLMs #Radiology #AI