How AI is changing the pancreatic imaging game :- Medznat
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Latest review conveys AI’s role in reshaping pancreatic imaging

Pancreatic diseases Pancreatic diseases
Pancreatic diseases Pancreatic diseases

What's new?

AI-driven pancreatic imaging is not just refining diagnostics—it’s redefining precision medicine by accelerating pathology assessment and tailoring treatment strategies.

A novel review published in the United European Gastroenterology (UEG) Journal highlighted how artificial intelligence (AI) is altering pancreatic imaging, enhancing diagnostic accuracy, refining pharmacological strategies, and improving patient survival.

Pancreatic diseases, from acute and chronic pancreatitis to aggressive malignancies like pancreatic ductal adenocarcinoma (PDAC), pose serious global health challenges. PDAC, notorious for its late-stage detection and poor prognosis, demands more precise diagnostic tools. While advanced imaging technologies have enhanced detection, biopsy confirmation remains essential. AI, specifically machine learning and deep learning, is putting its foot forward—enhancing diagnostic accuracy, refining treatment strategies, and personalizing patient care.

Based on the PRISMA - diagnostic test accuracy guidelines, AI's role in pancreatic imaging using data from PubMed, Scopus, and the Cochrane Library was examined. Studies published up to March 31, 2024, focusing on AI, machine learning, deep learning, and radiomics in pancreatic imaging, were analyzed based on relevance and innovation.

Recent advancements showcased AI’s ability to identify and differentiate pancreatic diseases with exceptional accuracy. Convolutional neural networks have demonstrated high efficacy in segmenting pancreatic tissues and distinguishing between benign and malignant lesions. AI-powered deep learning models can predict survival, recurrence risks, and therapy responses in people with pancreatic cancer. Additionally, radiomics—leveraging imaging data from computed tomography, magnetic resonance imaging, and endoscopic ultrasound—has significantly refined AI-driven diagnostic accuracy.

Despite its promise, AI adoption in pancreatic imaging faces hurdles, including legal and ethical concerns, algorithm transparency, and concerns over data security. AI’s growth could revolutionize pancreatic disease management in the coming years with earlier detection and precise treatment.

Source:

United European Gastroenterology - UEG Journal

Article:

Artificial Intelligence in Pancreatic Imaging: A Systematic Review

Authors:

Nicoleta Podină et al.

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