Gastroenterology

Pancreatic Diseases

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

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Showing 64-84 of 7,011 articles
A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study.

BACKGROUND: Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient manage...

Development and validation of an AI-driven radiomics model using non-enhanced CT for automated severity grading in chronic pancreatitis.

OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial ...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

Comparison of publicly available artificial intelligence models for pancreatic segmentation on T1-weighted Dixon images.

PURPOSE: This study aimed to compare three publicly available deep learning models (TotalSegmentator...

Computational theranostics strategy for pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in modern medicine, characterized ...

Deep Learning Methodology for Quantification of Normal Pancreas Structures.

Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in dis...

Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions.

PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolut...

Multi-class transformer-based segmentation of pancreatic ductal adenocarcinoma and surrounding structures in CT imaging: a multi-center evaluation.

OBJECTIVE: Accurate segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding anatomic...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...

Fully Wearable Devices for Real-Time Health Monitoring and Multimodal Sensing in Nanomedicine Using Multiplexed Green Biofuels.

Fully wearable devices are crucial for real-time health monitoring, but existing devices often lack ...

Multimodal Artificial Intelligence Using Endoscopic USG, CT, and MRI to Differentiate Between Serous and Mucinous Cystic Neoplasms.

Introduction Serous cystic neoplasms (SCN) and mucinous cystic neoplasms (MCN) often exhibit similar...

Patient-specific deep learning tracking for real-time 2D pancreas localisation in kV-guided radiotherapy.

BACKGROUND AND PURPOSE: In pancreatic stereotactic body radiotherapy (SBRT), accurate motion managem...

Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning.

The pancreas is a gland in the abdomen that helps to produce hormones and digest food. The irregular...

Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.

Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, in...

Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.

Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requirin...

Advantages of deep learning reconstruction algorithm in ultra-high-resolution CT for the diagnosis of pancreatic cystic neoplasm.

PURPOSE: This study aimed to evaluate the image quality and clinical utility of a deep learning reco...

Multifunctional Hydrogen-Bonded Organic Frameworks for Intelligent Anti-Counterfeiting and Food Safety Monitoring.

In an era of increasing digital threats and product counterfeiting, this study introduces MA-IPA@NPA...

Toward diffusion MRI in the diagnosis and treatment of pancreatic cancer.

Pancreatic cancer is a highly aggressive malignancy with rising incidence and mortality rates, often...

Identification of mitophagy-related biomarkers in severe acute pancreatitis: integration of WGCNA, machine learning algorithms and scRNA-seq.

BACKGROUND: Mitophagy is a highly conserved cellular process in eukaryotic cells that selectively cl...

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