Pancreatic Diseases

[Survival of patients with pancreatic ductal adenocarcinoma].

OBJECTIVE: The objective of this study is to analyze the epidemiological presentation and survival o...

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.

Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper...

Deep Learning Models for Severity Prediction of Acute Pancreatitis in the Early Phase From Abdominal Nonenhanced Computed Tomography Images.

OBJECTIVES: To develop and validate deep learning (DL) models for predicting the severity of acute p...

[Application and prospect of artificial intelligence in pancreatic cancer].

As a severe malignant tumor of the digestive system,the highly invasive pancreatic cancer lacks typi...

Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview.

Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally. Medical imag...

[Clinical Outcome of Robot-Assisted Distal Pancreatectomy in Our Institutional Introduction].

We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RA...

[A Case of Robotic Distal Pancreatectomy for Pancreatic Metastasis of Gastric Cancer].

A 78-year-old male who had received laparoscopic total gastrectomy for upper gastric cancer 30 month...

nnUNet-based Multi-modality Breast MRI Segmentation and Tissue-Delineating Phantom for Robotic Tumor Surgery Planning.

Segmentation of the thoracic region and breast tissues is crucial for analyzing and diagnosing the p...

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.

Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (I...

Predicting Readmission Following Hospital Treatment for Patients with Alcohol Related Diagnoses in an Australian Regional Health District.

This study aims to investigate the prediction of hospital readmission of alcohol use disorder patien...

EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.

BACKGROUND: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancre...

"White bile" as a result of a malignant bile obstruction.

An 87-year-old female was admitted for endoscopic retrograde cholangiopancreatography (ERCP) due to ...

Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Pancreatic Cancer: A Scoping Review.

OBJECTIVE: To perform a scoping review of imaging-based machine-learning models to predict clinical ...

Gray-Level Co-occurrence Matrix Analysis for the Detection of Discrete, Ethanol-Induced, Structural Changes in Cell Nuclei: An Artificial Intelligence Approach.

Gray-level co-occurrence matrix (GLCM) analysis is a contemporary and innovative computational metho...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

Using the da Vinci X® - System for Esophageal Surgery.

Robotic esophageal surgery is becoming more widely adopted. Several publications on the feasibility,...

[Literature review of artificial intelligence for the treatment of pancreatobiliary diseases].

Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge for patients and clini...

Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery.

BACKGROUND: Artificial intelligence (AI), including machine learning (ML) and deep learning, has the...

Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images.

BACKGROUND: Early stage diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is challenging due to t...

Comment on "500 Minimally Invasive Robotic Pancreatoduodenectomies: One Decade of Optimizing Performance".