Pancreatic ductal adenocarcinoma is a type of cancer with a bleak prognosis because it’s usually diagnosed at an advanced stage. One reason why this cancer is so deadly is because, even after surgery, there is a high chance invading cancer cells remain in the body, making the tumor likely to return. However, the detection of cancer invading nerves, a prognostic indicator that signals the likelihood of recurrence, is difficult and time-consuming. Now, thanks to AI, there is a revolutionary new method for the detection of cancer invading nerves. Trained on a collection of images of tumor and nerve structures, the AI algorithm was not only able to identify cancer invading nerves faster but increased detection by 56% compared to traditional pathological analysis alone. Typically, AI development requires training on very large datasets. However, this method dispensed the need to use large datasets by incorporating pathologists' insights and still resulted in a highly accurate algorithm. As a result, this method is easily replicable and advances our fight against cancer by making AI development accessible to any hospital.