Applications of artificial intelligence have made great progress in medical image recognition. In fact, as early as 2001, neural networks have been used to analyze endoscopic ultrasound images to differentiate pancreatic cancer from focal pancreatitis. A program was designed that could distinguish pancreatitis from pancreatic cancer by extracting pixel features from the images, showing a high accuracy rate of 89%.

Currently, the application of artificial intelligence is machine learning has been applied to identify pancreatic cancer cell types non-invasively, including revealing the subtypes and molecular characteristics of pancreatic cancer. .

The appearance and growth of pancreatic cancer is complex and can change the patient's condition. In this regard, the application of artificial intelligence can be applied to diagnose and obtain objective data processing results. However, the application of artificial intelligence in health is not independent and most can only be used as an auxiliary tool.

Currently, the applications of artificial intelligence have a lot of potential in the medical field. In addition to artificial intelligence-based applications, such as disease data processing, imaging, and pathological image recognition, robotic surgery has revolutionized surgical procedures.