Advancements in Pancreatic Cancer Detection: Integrating Biomarkers, Imaging Technologies, and Machine Learning for Early Diagnosis

Artificial intelligence (AI) has come to play a pivotal role in revolutionizing medical practices, particularly in the field of pancreatic cancer detection and management. As a leading cause of cancer-related deaths, pancreatic cancer warrants innovative approaches due to its typically advanced stag...

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Bibliographic Details
Published in:	Curēus (Palo Alto, CA) Vol. 16; no. 3; p. e56583
Main Authors:	Daher, Hisham, Punchayil, Sneha A, Ismail, Amro Ahmed Elbeltagi, Fernandes, Reuben Ryan, Jacob, Joel, Algazzar, Mohab H, Mansour, Mohammad
Format:	Journal Article
Language:	English
Published:	United States Cureus Inc 20-03-2024
Subjects:	Artificial intelligence Biomarkers Kinases Medical diagnosis Medical ethics Mutation Pancreatic cancer pancreatic cancer detection ai & robotics in healthcare ai in cancer treatment pancreatic cancer diagnosis ai cancer detection ai and machine learning ethics in ai pancreas disease
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Summary:	Artificial intelligence (AI) has come to play a pivotal role in revolutionizing medical practices, particularly in the field of pancreatic cancer detection and management. As a leading cause of cancer-related deaths, pancreatic cancer warrants innovative approaches due to its typically advanced stage at diagnosis and dismal survival rates. Present detection methods, constrained by limitations in accuracy and efficiency, underscore the necessity for novel solutions. AI-driven methodologies present promising avenues for enhancing early detection and prognosis forecasting. Through the analysis of imaging data, biomarker profiles, and clinical information, AI algorithms excel in discerning subtle abnormalities indicative of pancreatic cancer with remarkable precision. Moreover, machine learning (ML) algorithms facilitate the amalgamation of diverse data sources to optimize patient care. However, despite its huge potential, the implementation of AI in pancreatic cancer detection faces various challenges. Issues such as the scarcity of comprehensive datasets, biases in algorithm development, and concerns regarding data privacy and security necessitate thorough scrutiny. While AI offers immense promise in transforming pancreatic cancer detection and management, ongoing research and collaborative efforts are indispensable in overcoming technical hurdles and ethical dilemmas. This review delves into the evolution of AI, its application in pancreatic cancer detection, and the challenges and ethical considerations inherent in its integration.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1
ISSN:	2168-8184 2168-8184
DOI:	10.7759/cureus.56583