Pancreatic Diseases

A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems.

Current artificial pancreas (AP) systems are hybrid closed-loop systems that require manual meal ann...

Deep learning-based pancreas volume assessment in individuals with type 1 diabetes.

Pancreas volume is reduced in individuals with diabetes and in autoantibody positive individuals at ...

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation.

Pancreatic cancer is a lethal malignant tumor with one of the worst prognoses. Accurate segmentation...

Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach.

The automatic segmentation of the pancreatic cyst lesion (PCL) is essential for the automated diagno...

Assessing and utilizing esterase specificity in antimicrobial prodrug development.

As a class of enzymes, esterases have been investigated for decades and have found use in industrial...

Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets.

Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosi...

Determination of multiple drugs of abuse in human urine using dispersive liquid-liquid microextraction and capillary electrophoresis with PDA detection.

A new method was developed for pre-concentration and determination of multiple drugs of abuse in hum...

Training in robotic Hepatobiliary and pancreatic surgery: a step up approach.

ROBOT-assisted pancreatoduodenectomy in 300 consecutive cases: Annual trend analysis and propensity score-matched comparison of perioperative and long-term oncologic outcomes with the open method.

BACKGROUND/PURPOSE: We previously reported perioperative and oncologic outcomes of robot-assisted pa...

Robotic Extended Ultrasound-Guided Distal Pancreatectomy for Pancreatic Metastases from Uveal Melanoma.

BACKGROUND: Isolated pancreatic metastasis from melanoma is extremely uncommon and accounts for appr...

Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.

BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was prop...

State-of-the-art surgery for pancreatic cancer.

BACKGROUND: The d evelopment of surgical techniques and specialization and specifically complication...

Machine intelligence in non-invasive endocrine cancer diagnostics.

Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care system rep...

Virtual screening of dipeptidyl peptidase-4 inhibitors using quantitative structure-activity relationship-based artificial intelligence and molecular docking of hit compounds.

Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 ...

Robot-assisted pancreatoduodenectomy with the da Vinci Xi: can the costs of advanced technology be offset by clinical advantages? A case-matched cost analysis versus open approach.

BACKGROUND: Robot-assisted pancreatoduodenectomy (RPD) has shown some advantages over open pancreato...

A remotely controlled Marangoni surfer.

Inspired by creatures that have naturally mastered locomotion on the air-water interface, we develop...

Machine learning models compared to existing criteria for noninvasive prediction of endoscopic retrograde cholangiopancreatography-confirmed choledocholithiasis.

BACKGROUND AND AIMS: Noninvasive predictors of choledocholithiasis have generally exhibited marginal...

Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made f...

Early prediction of severe acute pancreatitis using machine learning.

BACKGROUND: Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-related hos...

A Wavelet-Based Learning Model Enhances Molecular Prognosis in Pancreatic Adenocarcinoma.

Genome-wide omics technology boosts deep interrogation into the clinical prognosis and inherent mech...

Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

PURPOSE: Diagnosis of lymph node metastasis (LNM) is critical for patients with pancreatic ductal ad...