Pancreatic Diseases

Artificial Intelligence in hepatology: A position paper by the Italian Association for the Study of the Liver.

Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enhance diagnosis, prognosis, and treatment across all areas of hepatology. This Position Paper by the Italian Association for the Study of the Liver (AISF) offers a comprehensive overview of the current and emerging roles of AI in liver diseases, highlighting both its promise and its limitations. The d...

Explainable Machine Learning for Assessing Digital Health Literacy in Older Adults: Validation and Development of a Two-Stage Model Integrating Performance-Based and Self-Assessed Indicators.

BACKGROUND: Digital health literacy (DHL) is the ability to locate, understand, evaluate, and apply health information in digital environments. It is essential for older adults to effectively engage with contemporary health care. However, existing DHL assessments primarily rely on self-reported measures, which are susceptible to subjective bias and often fail to capture actual performance. There i...

The SHAP Has Sailed: Explainable Machine Learning Meets Endoscopic Ultrasonography in the Diagnosis of Non-pancreatic Periampullary Lesions.

SR-FTIR spectroscopy combined with machine learning reveals the alterations of biochemical composition in tendinopathy.

Tendinopathy is a musculoskeletal disorder characterized by pathological extracellular matrix remodeling, yet the associated biochemical alterations r...

AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Mod...

Flavor remodeling in Paocai during round spontaneous fermentation: an integrative analysis of active microbial succession and metabolic processes.

Traditional paocai is a representative Chinese fermented vegetable that is typically produced through successive fermentation cycles. However, the mec...

Second-line chemotherapy after gemcitabine plus nab-paclitaxel in metastatic pancreatic cancer: comparative outcomes and AI-guided treatment selection.

BACKGROUND: International guidelines recommend 5FU/LV, Nal-IRI + 5FU/LV, FOLFIRI, FOLFOX, or (m)FOLFIRINOX as second-line (2 L) chemotherapy for patie...

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan.

Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prognostic models often lack interpretability and unde...

mRNA-based cancer vaccines: A new frontier in personalized immunotherapy.

The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by providing a flexible and scalable platform to generate ...

A Machine Learning-Based Clinical Tool for Predicting Inadequate Bowel Preparation: Development and Validation.

OBJECTIVES: Colonoscopy is an essential tool for diagnosing and treating colorectal diseases, with bowel preparation serving as a key determinant of i...

AI-Derived Electronic Tumor Marker For Cancer Antigen 19-9 Nonproducers With Pancreatic Ductal Adenocarcinoma.

IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pancreatic ductal adenocarcinoma (PDAC); however, ne...

Ganglioside-Mediated Neural-Acinar Crosstalk Facilitates Pancreatic Carcinogenesis via Metaplastic Niche Remodeling.

BACKGROUND & AIMS: Neural networks constitute a crucial component of the tumor microenvironment that remains underexplored in pancreatic carcinogenesi...

A smart colorimetric film coupling deep eutectic solvents and deep learning for real-time Salmon freshness monitoring.

Effective freshness monitoring is essential for aquatic products to ensure food safety and reduce waste. To overcome the limitations of stability and ...

Integrated analysis of metabolic gene features and the immune microenvironment: identification of DPYD-mediated prognostic model and therapeutic targets in pancreatic cancer.

A Smartphone-based Comprehensive Dataset of Annotated Oral Cavity Images for Enhanced Oral Disease Diagnosis.

This study introduces a SMARTphone-based, expert annotated dataset of Oral Mucosa images (SMART-OM), collected to facilitate the development of Artifi...

Clustering of cardiovascular risk factors and their association with socio-demographic and lifestyle factors in middle-aged and older adults in rural northeast South Africa: Findings from HAALSI.

OBJECTIVES: This study examined patterns of clustering of intermediate risk factors for Cardiovascular diseases (CVDs) in a rural South African popula...

Machine Learning Models for Identifying Dental Pain in Adolescents.

INTRODUCTION: This study aimed to identify dental pain using machine learning (ML) algorithms in Brazilian adolescents for public health screening pur...

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data.

Delayed access to abortion care in Ethiopia poses significant public health risks, yet it has not been studied using advanced machine learning models ...

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in volume and intrinsic tissue characteristics in an o...

Detection of Lung and Colon Cancer Using XRx-Net With Histopathological Images.

Lung and Colon Cancer (LCC) is a prevalent type of cancer influenced by factors such as genetics, smoking, second-hand smoke exposure, and alcohol con...