AIMC Topic: Pancreas

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RRM-TransUNet: Deep-Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Pancreatic diseases such as cancer and pancreatitis pose significant health risks. Early detection requires precise segmentation results. Fully automatic segmentation algorithms cannot integrate clinical expertise and correct output error...

Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence.

World journal of gastroenterology
Current diagnosis of autoimmune pancreatitis (AIP) is challenging and often requires combining multiple dimensions. There is a need to explore new methods for diagnosing AIP. The development of artificial intelligence (AI) is evident, and it is belie...

[Pancreas segmentation with multi-channel convolution and combined deep supervision].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in medical image segmentation. Convolutional neural network (CNN) and Transformer-based networks perform well but have limitations: CNN have constrained r...

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Pancreatitis is a major public health issue world-wide; studies show an increase in the number of people experiencing pancreatitis. Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression and prognosis, emphasizin...

Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis.

The British journal of radiology
OBJECTIVES: To develop an artificial intelligence (AI) tool with automated pancreas segmentation and measurement of pancreatic morphological information on CT images to assist improved and faster diagnosis in acute pancreatitis.

Teaching modern pancreatic surgery: close relationship between centralization, innovation, and dissemination of care.

BJS open
BACKGROUND: Pancreatic surgery is increasingly moving towards centralization in high-volume centres, supported by evidence on the volume-outcome relationship. At the same time, minimally invasive pancreatic surgery is becoming more and more establish...

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...