A new study published in Nature reveals that artificial intelligence systems can now analyze medical images with an accuracy rate surpassing that of human radiologists in detecting early-stage lung cancer. The AI model was trained on a dataset of over 100,000 CT scans from multiple institutions. Researchers report the system achieved a 94% detection rate for subtle nodules, compared to 88% for a panel of expert radiologists. The technology aims to serve as a supportive tool for clinicians, potentially reducing diagnostic delays and improving patient outcomes. Further clinical trials are planned to validate the findings in real-world hospital settings. Read the full article at https://sciencedaily.com/releases/2024/05/240521123456.htm