Pancreatic Diseases

Robot-assisted versus laparoscopic distal pancreatectomy: a systematic review and meta-analysis including patient subgroups.

BACKGROUND: Robot-assisted distal pancreatectomy (RDP) has been suggested to hold some benefits over...

Development and Feasibility Pilot Study of Indigenous Recovery Planning: A Community-Engaged Approach to Addressing Substance Use in a Native Community.

Although Native (American Indian and Alaska Native [AI/AN]) populations have high rates of abstinenc...

ASO Author Reflections: The Safety and Efficacy of Robot-Assisted and Laparoscopic Distal Pancreatectomy in Patients with Resectable Left-Sided Pancreatic Cancer.

A commentary on 'robotic pancreaticoduodenectomy in elderly and younger patients: a retrospective cohort study' [Int J Surg. 81 (2020) 61-5].

Accurate intraoperative real-time blood flow assessment of the remnant stomach during robot-assisted distal pancreatectomy with celiac axis resection using indocyanine green fluorescence imaging and da Vinci Firefly technology.

INTRODUCTION: Ischemic gastropathy is one of the unique postoperative complications associated with ...

Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems.

High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. H...

3D plasmonic coral nanoarchitecture paper for label-free human urine sensing and deep learning-assisted cancer screening.

Practical human biofluid sensing requires a sensor device to differentiate patients from the normal ...

Contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) MASTER: A novel deep learning-based system in pancreatic mass diagnosis.

BACKGROUND AND AIMS: Distinguishing pancreatic cancer from nonneoplastic masses is critical and rema...

Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reconstruction algorithm.

PURPOSE: To compare the image quality and conspicuity of pancreatic ductal adenocarcinoma (PDAC) bet...

Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA).

BACKGROUND: Acute alcohol intoxication impairs cognitive and psychomotor abilities leading to variou...

Chestnut-Tannin-Crosslinked, Antibacterial, Antifreezing, Conductive Organohydrogel as a Strain Sensor for Motion Monitoring, Flexible Keyboards, and Velocity Monitoring.

Flexible sensing devices (FSDs) fabricated using conductive hydrogels have attracted researchers' ex...

Technique for Robotic Pancreaticojejunostomy.

BACKGROUND:: Minimally invasive, robotic techniques for hepatobiliary procedures offer the potential...

Invited Commentary: Perspective on Technique for Robotic Pancreaticojejunostomy.

A strong and tough gelatin/polyvinyl alcohol double network hydrogel actuator with superior actuation strength and fast actuation speed.

Hydrogels are widely used in actuators that are applied in numerous fields such as multifunctional s...

Prediction of biphasic separation in CO absorption using a molecular surface information-based machine learning model.

Carbon dioxide capture technologies have become a focus to overcome global warming. Biphasic absorbe...

An assessment of perioperative outcomes for open, laparoscopic, and robot-assisted pancreaticoduodenectomy.

Establishing an open and robotic pancreatic surgery program in a level 1 trauma center community teaching hospital and comparing its outcomes to high-volume academic center outcomes: a retrospective review.

BACKGROUND: The debate of whether to centralize hepato-pancreato-biliary surgery has been ongoing. T...

Robotic versus open pancreaticoduodenectomy in elderly patients: a propensity score-matched analysis.

BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. Th...

Spatio-temporally smoothed deep survival neural network.

The analysis of registry data has important implications for cancer monitoring, control, and treatme...

Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.

BACKGROUND: Preoperative prediction of pancreatic cystic neoplasm (PCN) differentiation has signific...

A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.

PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fl...