Pancreatic Diseases

Design, Analysis and Experimental Validation of a Novel 7-Degrees of Freedom Instrument for Laparoscopic Surgeries.

Laparoscopic surgery is widely used for treating intra-abdominal conditions involving the gallbladde...

Artificial intelligence in pancreatic cancer.

Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The ...

A Smart Alcoholmeter Sensor Based on Deep Learning Visual Perception.

Process automation, in general, enables the enhancement of productivity, product quality, and consis...

Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.

Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purp...

Deep Learning to Detect Pancreatic Cancer at CT: Artificial Intelligence Living Up to Its Hype.

Figures do matter: A literature review of 4587 robotic pancreatic resections and their implications on training.

BACKGROUND: The use of robotic assistance in minimally invasive pancreatic resection is quickly grow...

Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis even after curative resecti...

Deep Learning-based Detection of Solid and Cystic Pancreatic Neoplasms at Contrast-enhanced CT.

Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging....

Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video).

BACKGROUND AND AIMS: Accurately diagnosing malignant biliary strictures (MBSs) as benign or malignan...

An assessment of perioperative outcomes for open, laparoscopic, and robot-assisted pancreaticoduodenectomy in New York State.

BACKGROUND: Minimally invasive techniques for pancreaticoduodenectomy (PD) are increasing in practic...

Liver enzymes, alcohol consumption and the risk of diabetes: the Suita study.

AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the dia...

Deep Learning-Based Label-Free Surface-Enhanced Raman Scattering Screening and Recognition of Small-Molecule Binding Sites in Proteins.

Identification of small-molecule binding sites in proteins is of great significance in analysis of p...

Impact of the transection plan on postoperative pancreatic fistulas occurring after robot-assisted distal pancreatectomy for nonmalignant pancreatic neoplasms.

OBJECTIVES: Postoperative pancreatic fistula (POPF) is the main complication of distal pancreatectom...

Robotic pancreatoduodenectomy: trends in technique and training challenges.

BACKGROUND: More complex cases are being performed robotically. This study aims to characterize tren...

Characterizing Metastable States with the Help of Machine Learning.

Present-day atomistic simulations generate long trajectories of ever more complex systems. Analyzing...

Sweat Proteomics in Cystic Fibrosis: Discovering Companion Biomarkers for Precision Medicine and Therapeutic Development.

In clinical routine, the diagnosis of cystic fibrosis (CF) is still challenging regardless of intern...

Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.

PURPOSE: Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatme...

Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.

. Accurate segmentation of the pancreas from abdomen CT scans is highly desired for diagnosis and tr...

Detection of Pancreatic Cancer in CT Scan Images Using PSO SVM and Image Processing.

A diagnosis of pancreatic cancer is one of the worst cancers that may be received anywhere in the wo...

DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes in virtual screening.

Identifying native-like protein-ligand complexes (PLCs) from an abundance of docking decoys is criti...

Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles.

After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes)...