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- W4308008218 endingPage "5382" @default.
- W4308008218 startingPage "5382" @default.
- W4308008218 abstract "Pancreatic cancer is among the most challenging forms of cancer to treat, owing to its late diagnosis and aggressive nature that reduces the survival rate drastically. Pancreatic cancer diagnosis has been primarily based on imaging, but the current state-of-the-art imaging provides a poor prognosis, thus limiting clinicians’ treatment options. The advancement of a cancer diagnosis has been enhanced through the integration of artificial intelligence and imaging modalities to make better clinical decisions. In this review, we examine how AI models can improve the diagnosis of pancreatic cancer using different imaging modalities along with a discussion on the emerging trends in an AI-driven diagnosis, based on cytopathology and serological markers. Ethical concerns regarding the use of these tools have also been discussed." @default.
- W4308008218 created "2022-11-07" @default.
- W4308008218 creator A5058673819 @default.
- W4308008218 creator A5074577272 @default.
- W4308008218 date "2022-10-31" @default.
- W4308008218 modified "2023-10-02" @default.
- W4308008218 title "Artificial Intelligence-Driven Diagnosis of Pancreatic Cancer" @default.
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