Researchers at Ohio State University are making significant strides in the field of cancer care through the application of artificial intelligence. Their research focuses on identifying patients with lobular breast cancer who face a higher risk of recurrence within the next decade. This type of cancer, known for its aggressive nature and difficulty in detection, accounts for 10% to 15% of breast cancer diagnoses in the U.S. Lobular cancer presents as a subtle thickness on mammograms rather than a distinct tumor, making it challenging to detect until it has spread. The AI technology, currently in development and set to undergo clinical trials, combines digital pathology images with clinical data to create a predictive scoring system. This system aims to identify high-risk patients, allowing for close surveillance and better treatment strategies. Despite the potential of AI, experts caution that real-world challenges, including temporal drift and dense breast tissue, must be addressed before these tools can become a standard part of cancer care. The research highlights the promising role of AI in improving early detection and treatment outcomes for breast cancer patients.