Comparison of Performance of Large Language Models on Lung-RADS Related Questions
Eren Çamur, Turay Cesur, Yasin Celal Güneş · JCO Global Oncology · 2024
This study evaluates LLM integration in interpreting Lung-RADS for lung cancer screening, highlighting their innovative role in enhancing radiological practice. Our findings reveal that Claude 3 Opus and Perplexity achieved a 96% accuracy rate, outperforming other models.