AIMC Topic: Pancreas

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Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.

Computers in biology and medicine Jan 17, 2024
Accurate segmentation of the pancreas from abdominal computed tomography (CT) images is challenging but essential for the diagnosis and treatment of pancreatic disorders such as tumours and diabetes. In this study, a dataset with 229 sets of high-res...
Humans Tomography, X-Ray Computed Diabetes Mellitus Pancreas Deep Learning Image Processing, Computer-Assisted
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[Robotic pancreatic surgery].

Chirurgie (Heidelberg, Germany) Dec 14, 2023
Robotic operations as a further development of conventional laparoscopic surgery have been introduced for nearly all interventions in visceral surgery during the last decade. They also currently have a high importance and acceptance in pancreatic sur...
Retrospective Studies Robotics Humans Pancreatectomy Robotic Surgical Procedures Pancreas
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Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.

International journal of surgery (London, England) Dec 1, 2023
BACKGROUND: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune pancreatitis, and pancreatic cancer, poses a challenge and, as a result, is time-consuming. To tackle this issue, artificial intelligence (AI) has been increasingly...
Endosonography Pancreas Artificial Intelligence Adult Sensitivity and Specificity Pancreatic Neoplasms Humans
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Large-scale pancreatic cancer detection via non-contrast CT and deep learning.

Nature medicine Nov 20, 2023
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC usi...
Pancreatic Neoplasms Humans Carcinoma, Pancreatic Ductal Pancreas Tomography, X-Ray Computed Deep Learning Artificial Intelligence Retrospective Studies
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[Current CT developments in imaging of pancreatic diseases].

Radiologie (Heidelberg, Germany) Nov 10, 2023
BACKGROUND: Diseases of the pancreas are often diagnosed late and can have fatal consequences for patients.
Tomography, X-Ray Computed Pancreatic Diseases Artificial Intelligence Algorithms Pancreas Humans
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CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm.

PloS one Nov 6, 2023
Pancreatic cancer (PC) is a very lethal disease with a low survival rate, making timely and accurate diagnoses critical for successful treatment. PC classification in computed tomography (CT) scans is a vital task that aims to accurately discriminate...
Deep Learning Pancreatic Neoplasms Algorithms Humans Pancreas Tomography, X-Ray Computed
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A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging.

Scientific reports Oct 2, 2023
Pancreatic fine-needle aspirations are the gold-standard diagnostic procedure for the evaluation of pancreatic ductal adenocarcinoma. A suspicion for malignancy can escalate towards chemotherapy followed by a major surgery and therefore is a high-sta...
Pancreatic Neoplasms Triage Pancreas Deep Learning Adenocarcinoma Humans
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Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework.

Communications biology Aug 24, 2023
Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing comput...
Deep Learning Pancreas Humans Drug-Related Side Effects and Adverse Reactions
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Hybrid AI models allow label-free identification and classification of pancreatic tumor repopulating cell population.

Biochemical and biophysical research communications Aug 9, 2023
Human pancreatic cancer cell lines harbor a small population of tumor repopulating cells (TRCs). Soft 3D fibrin gel allows efficient selection and growth of these tumorigenic TRCs. However, rapid and high-throughput identification and classification ...
Support Vector Machine Cell Line Carcinogenesis Pancreatic Neoplasms Neural Networks, Computer Machine Learning Humans Pancreas
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MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data.

Medical image analysis Aug 9, 2023
Large-scale data obtained from aggregation of already collected multi-site neuroimaging datasets has brought benefits such as higher statistical power, reliability, and robustness to the studies. Despite these promises from growth in sample size, sub...
Neuroimaging Humans Sample Size Pancreas Reproducibility of Results Deep Learning
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