Pancreatic Diseases

Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery.

BACKGROUND: Artificial intelligence (AI), including machine learning (ML) and deep learning, has the...

Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images.

BACKGROUND: Early stage diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is challenging due to t...

Comment on "500 Minimally Invasive Robotic Pancreatoduodenectomies: One Decade of Optimizing Performance".

Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning.

Pancreatic surgery is associated with a high risk for postoperative complications and death of patie...

[Application of digital medical technology in hepatopancreatobiliary surgery:20 years' retrospective review and prospect].

Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreati...

[Da Vinci robot-assisted pylorus and vagus nerve-preserving partial gastrectomy for gastric cancer].

To investigate the safety and feasibility of Da Vinci robot-assisted pylorus and vagus nerve-preser...

Artificial Intelligence-Assisted Diagnostic Approaches for Pancreatic Disease.

Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.

The potential of artificial intelligence (AI) applied to clinical data from electronic health record...

Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.

Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-...

Robotic pancreatic surgery: minimally invasive approach to challenging operations.

BACKGROUND: Pancreatic surgery is still associated with high perioperative morbidity and mortality. ...

Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.

Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis and a 5...

[Analysis of pancreatic segmentation algorithm based on deep learning to improve pancreatic critical region segmentation ability on dual-phase CT].

To investigate the segmentation effects of the deep learning method on CT in the arterial phase and...

Applications of artificial intelligence in pancreatic and biliary diseases.

The application of artificial intelligence (AI) in medicine has increased rapidly with respect to ta...

[Evidence for robotics in oncological pancreatic surgery].

Robotic surgical procedures have been implemented and have become an important development in pancre...

Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm.

The purpose of this project is to identify prognostic features in resectable pancreatic head adenoc...

Robotic Total Pancreatectomy: A Narrative Review.

BACKGROUND/AIM: Studies on robotic total pancreatectomy (RTP) have been limited regardless of the in...

Artificial intelligence in pancreaticobiliary endoscopy.

Artificial intelligence (AI) applications in health care have exponentially increased in recent year...

Multimodal Automatic Coding of Client Behavior in Motivational Interviewing.

Motivational Interviewing (MI) is defined as a collaborative conversation style that evokes the clie...

Robot-Assisted Total Pancreatectomy With Autologous Islet Cell Transplantation: Perioperative Nursing Considerations.

Chronic pancreatitis (CP) is an inflammatory disease of the pancreas that causes pain and gastrointe...

Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis.

BACKGROUND: Efforts should be made to develop a deep-learning diagnosis system to distinguish pancre...

Convolutional neural network for the detection of pancreatic cancer on CT scans - Authors' reply.