Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising
World Journal of Gastroenterology , Volume 27, pp 1283-1295; doi:10.3748/wjg.v27.i13.1283
Abstract: Pancreatic ductal adenocarcinoma (PDAC) is a worldwide public health concern. Despite extensive research efforts toward improving diagnosis and treatment, the 5-year survival rate at best is approximately 15%. This dismal figure can be attributed to a variety of factors including lack of adequate screening methods, late symptom onset, and treatment resistance. Pancreatic ductal adenocarcinoma remains a grim diagnosis with a high mortality rate and a significant psy-chological burden for patients and their families. In recent years artificial intelligence (AI) has permeated the medical field at an accelerated pace, bringing potential new tools that carry the promise of improving diagnosis and treatment of a variety of diseases. In this review we will summarize the landscape of AI in diagnosis and treatment of PDAC.
Keywords: Artificial intelligence / Neural network / Future perspectives / Pancreatic adenocarcinoma / Early diagnosis / Improved performance
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