Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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A chronicle of the pancreatoduodenectomy technique development - from the surgeon's hand to the robotic arm.

BACKGROUND: Pancreatoduodenectomy (PD) remains one of the most challenging abdominal surgical proced...

Effect of Operative Time on Outcomes of Minimally Invasive Versus Open Pancreatoduodenectomy.

OBJECTIVE: To evaluate how operative time interacts with outcomes among different approaches to panc...

Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.

In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to...

OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.

Organoids have immense potential as ex vivo disease models for drug discovery and personalized drug ...

Comparison of different pancreatic stump management strategies during robot-assisted distal pancreatectomy.

BACKGROUND: Postoperative pancreatic fistula (POPF) represents the most feared complication after di...

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...

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...

Robotic pancreatoduodenectomy: trends in technique and training challenges.

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

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