Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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Showing 1639-1659 of 6,437 articles
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT

An accurate segmentation of the pancreas on CT is crucial to identify pancreatic pathologies and e...

(1)
RRM-TransUNet: Deep-Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images.

BACKGROUND: Pancreatic diseases such as cancer and pancreatitis pose significant health risks. Early...

(1)
Apr 2025 40209153
Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed a...

Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence.

Current diagnosis of autoimmune pancreatitis (AIP) is challenging and often requires combining multi...

Mar 2025 40182594
Identifying responders to gabapentin for the treatment of alcohol use disorder: an exploratory machine learning approach.

BACKGROUND: Gabapentin, an anticonvulsant medication, has been proposed as a treatment for alcohol u...

Mar 2025 40138385
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians b...

Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation

Purpose: Retrieval-augmented generation (RAG) is a technology to enhance the functionality and rel...

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset

With the significantly increasing incidence and prevalence of abdominal diseases, there is a need ...

AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT

Pancreatic ductal adenocarcinoma (PDAC) is one of the most common and aggressive types of pancreat...

Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach

This paper explores the application of reinforcement learning to optimize the parameters of a Type...

Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study.

BACKGROUND: The International Study Group of Pancreatic Surgery has established the definition and g...

Feb 2025 40062328
[Pancreas segmentation with multi-channel convolution and combined deep supervision].

Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in m...

(2)
Feb 2025 40000186
An Exceptional Dataset For Rare Pancreatic Tumor Segmentation

Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less t...

Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy

Fiducial marker positions in projection image of cone-beam computed tomography (CBCT) scans have b...

(1)
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation

Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of ...

A Brain Age Residual Biomarker (BARB): Leveraging MRI-Based Models to Detect Latent Health Conditions in U.S. Veterans

Age prediction using brain imaging, such as MRIs, has achieved promising results, with several stu...

RadGPT: Constructing 3D Image-Text Tumor Datasets

With over 85 million CT scans performed annually in the United States, creating tumor-related repo...

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