An illustration of integrating artificial intelligence in various regimes to aid in identifying pancreatic cancer promptly (IMAGE)
Caption
Pancreatic cancer (PC) remains a formidable challenge in oncology due to its notoriously poor prognosis, often resulting from late-stage diagnosis. Early detection through effective screening methods is crucial not only to improving patient outcomes but also to enhancing their quality of life. This review focuses on the latest advancements in PC screening and early diagnostic strategies. Key areas include the integration of artificial intelligence in radiology, the search for novel biomarkers, and the development of predictive models. This review aimed to provide a comprehensive overview, serving as a stepping stone toward transforming early detection strategies for PC in the digital age.
Credit
Taiping Zhang, Wenhao Luo, Jun Wang
Usage Restrictions
Credit must be given to the creator. Only noncommercial uses of the work are permitted.
License
CC BY-NC