Samsung Medical Center Introduces AI to Predict Lung Cancer Recurrence
Seoul, Friday, 12 September 2025.
Samsung Medical Center has launched an AI model using data from nearly 15,000 patients to predict non-small cell lung cancer recurrence, enhancing personalized treatment and outcomes.
Innovative AI Model: RADAR CARE
Samsung Medical Center has introduced an artificial intelligence model named RADAR CARE, aimed at predicting the recurrence risk of non-small cell lung cancer (NSCLC). This model, launched on September 10, 2025, utilizes deep learning techniques and has been trained on data from approximately 14,177 patients who underwent surgery at the center between 2008 and 2022 [1][2].
Advanced Predictive Capabilities
The AI model classifies patients into three risk categories: low, intermediate, and high. A recent study showed that patients with higher risk scores were more likely to experience lung cancer recurrence within one year, with recurrence rates of 10% in the high-risk group, 5% in the intermediate group, and 1% in the low-risk group [1]. This stratification enables healthcare providers to tailor treatment plans more effectively [3].
Enhancing Patient Outcomes
The predictive model is designed to enhance patient outcomes by allowing for personalized treatment strategies. By assessing recurrence likelihood through patient data, including genetic information and treatment history, the AI model provides timely and accurate predictions. This approach aims to improve the management of lung cancer post-treatment [4].
Broader Implications in Oncology
The introduction of AI models like RADAR CARE is part of a broader trend in oncology, where artificial intelligence is increasingly used to improve patient care. Similar efforts in Singapore have led to the development of an AI-driven scoring system for predicting the recurrence of hepatocellular carcinoma with 82% accuracy [1]. This trend underscores the potential of AI to transform cancer treatment by providing proactive management strategies [5].