Pancreatic Diseases

ASO Author Reflections: Open/Robotic-Splenic Vessels Preserving Distal Pancreatectomy can be a Good Option for Post-Distal Gastrectomy Patients.

Deep-learning image reconstruction for 80-kVp pancreatic CT protocol: Comparison of image quality and pancreatic ductal adenocarcinoma visibility with hybrid-iterative reconstruction.

PURPOSE: To evaluate the image quality and visibility of pancreatic ductal adenocarcinoma (PDAC) in ...

The future of robotic pancreaticoduodenal surgery: a bibliometric analysis.

OBJECTIVES: Robotic pancreaticoduodenectomy (RPD) has garnered significant research attention in the...

Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.

BACKGROUND: Pancreatic ductal carcinoma patients have a really poor prognosis given its difficult ea...

Diagnostic ability of deep learning in detection of pancreatic tumour.

Pancreatic cancer is associated with higher mortality rates due to insufficient diagnosis techniques...

Jejunum Patch Technique During Robot-Assisted Central Pancreatectomy: A Lesson from Open Procedure Experience.

BACKGROUND: Central pancreatectomy (CP) has been established as the most common type of parenchyma-s...

Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.

Two tumor (Classical/Basal) and stroma (Inactive/active) subtypes of Pancreatic adenocarcinoma (PDAC...

No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.

The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integr...

The Feasibility, Proficiency, and Mastery Learning Curves in 635 Robotic Pancreatoduodenectomies Following a Multicenter Training Program: "Standing on the Shoulders of Giants".

OBJECTIVE: To assess the feasibility, proficiency, and mastery learning curves for robotic pancreato...

Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning.

OBJECTIVES: This study proposes and evaluates a deep learning method to detect pancreatic neoplasms ...

Learning Curves in Establishing a New Minimally Invasive Pancreas Program.

INTRODUCTION: Robotic pancreaticoduodenectomy (rPD) is a complex operation with a reported learning ...

Short-term outcomes between robot-assisted and open pancreaticoduodenectomy in patients with high body mass index: A propensity score matched study.

BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The...

Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.

Understanding and optimizing adolescent-specific engagement with behavior change interventions will ...

The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions.

PURPOSE: To evaluate the efficacy of low-dose CT (LDCT) with deep learning image reconstruction (DLI...

Laparoscopic Completion Pancreatectomy After a Prior Robot-Assisted Laparoscopic Whipple's Procedure.

Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning: A study based on Surveillance, Epidemiology, and End Results database.

BACKGROUND: The study aims to evaluate the performance of three advanced machine learning algorithms...

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.

Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicati...

Robotic instruments outside the surgical field can cause problems: A case of critical bleeding during robotic distal pancreatectomy.

Robotic surgery has technical advantages including high optical magnification and articulation of fo...

Robot-Assisted versus Laparoscopic Distal Pancreatectomy in Patients with Resectable Pancreatic Cancer: An International Retrospective Cohort Study-Authors' Reply.

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning.

A novel method is proposed to obtain four-dimensional (4D) cone-beam computed tomography (CBCT) imag...

Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.

BACKGROUND: Fatty pancreas is associated with inflammatory and neoplastic pancreatic diseases. Magne...