Pancreatic cancer is a highly lethal disease associated with significant morbidity and
mortality. In the United States (US), the overall 5-year relative survival rate for pancreatic …

We performed a meta-analysis of published data to investigate the diagnostic value of
artificial intelligence for pancreatic cancer. Systematic research was conducted in the …

Background: Pancreatic cancer (PC) is a highly fatal malignancy with a global overall 5-year
survival of under 10%. Screening of PC is not recommended outside of clinical trials …

The use of artificial intelligence (AI) in various medical imaging applications has expanded
remarkably, and several reports have focused on endoscopic ultrasound (EUS) images of …

EUS-guided tissue acquisition carries certain risks from unnecessary needle puncture in the
low-likelihood lesions. Artificial intelligence (AI) system may enable us to resolve these …

Artificial intelligence (AI) is an emerging concept that refers to computer programs that are
able to perform tasks similar to human intelligence, such as learning and problem-solving …

Conventional EUS plays an important role in identifying pancreatic cancer. However, the
accuracy of EUS is strongly influenced by the operator's experience in performing EUS …

Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …

Background: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune
pancreatitis, and pancreatic cancer, poses a challenge and, as a result, is time-consuming …

Purpose This review aims to explore the role of AI in the application of pancreatic cancer
management and make recommendations to minimize the impact of the limitations to …