Ultrasound can detect signs of pancreatic cancer. Some studies have shown that ultrasound has a sensitivity of 94% in diagnosing pancreatic cancer. However, the diagnostic effectiveness of ultrasound depends greatly on the experience of the technician, the radiologist, and the patient's condition.

To diagnose pancreatic cancer, your doctor will review your symptoms and medical history, as well as the necessary tests. Treatment for pancreatic cancer may include surgery, radiation, chemotherapy, or a combination and palliative care.

Pancreatic cancer begins in the tissues of the body's pancreas. Pancreatic cancer is difficult to detect in the early stages, while if detected early at this stage, it can be cured. This article will provide information on the diagnosis and early detection signs of pancreatic cancer.

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%.

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.