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Pancreas

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Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.

World journal of gastroenterology
Artificial intelligence (AI) has experienced substantial progress over the last ten years in many fields of application, including healthcare. In hepatology and pancreatology, major attention to date has been paid to its application to the assisted o...

Minimally invasive versus open pancreatic surgery: meta-analysis of randomized clinical trials.

BJS open
BACKGROUND: Widespread implementation of the minimally invasive technique in pancreatic surgery has proven to be challenging. The aim of this study was to compare the perioperative outcomes of minimally invasive (laparoscopic and robotic) pancreatic ...

[Application and prospect of artificial intelligence in pancreatic cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery]
As a severe malignant tumor of the digestive system,the highly invasive pancreatic cancer lacks typical preliminary symptoms. Rapid metastatic dissemination and difficulty in early-stage diagnosis preclude the chance of radical curative resection,hen...

[Clinical Outcome of Robot-Assisted Distal Pancreatectomy in Our Institutional Introduction].

Gan to kagaku ryoho. Cancer & chemotherapy
We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RADP)of early 5 cases in our institutional introduction. We followed the guidelines for introduction of robot-assisted pancreatectomy proposed by Japane...

Evaluation of machine learning approaches for cell-type identification from single-cell transcriptomics data.

Briefings in bioinformatics
Single-cell transcriptomics technologies have vast potential in advancing our understanding of cellular heterogeneity in complex tissues. While methods to interpret single-cell transcriptomics data are developing rapidly, challenges in most analysis ...

Robotic pancreatic surgery: minimally invasive approach to challenging operations.

Minerva surgery
BACKGROUND: Pancreatic surgery is still associated with high perioperative morbidity and mortality. The purpose of this study was to present the short-term outcomes of robot-assisted pancreatic surgery, including pancreaticoduodenectomy (RAPD), dista...

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

Zhonghua yi xue za zhi
To investigate the segmentation effects of the deep learning method on CT in the arterial phase and venous phase respectively by using subjective and objective evaluation system, and to investigate the factors that affect the difference between arte...

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

World journal of gastroenterology
BACKGROUND: Efforts should be made to develop a deep-learning diagnosis system to distinguish pancreatic cancer from benign tissue due to the high morbidity of pancreatic cancer.

Prediagnostic Image Data, Artificial Intelligence, and Pancreatic Cancer: A Tell-Tale Sign to Early Detection.

Pancreas
Pancreatic cancer continues to be one of the deadliest malignancies and is the third leading cause of cancer-related mortality in the United States. Based on several models, it is projected to become the second leading cause of cancer-related deaths ...