AIMC Topic: Pancreatic Neoplasms
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Successful Development of a Natural Language Processing Algorithm for Pancreatic Neoplasms and Associated Histologic Features.
Pancreas
Sep 14, 2023
OBJECTIVES: Natural language processing (NLP) algorithms can interpret unstructured text for commonly used terms and phrases. Pancreatic pathologies are diverse and include benign and malignant entities with associated histologic features. Creating a...
International survey on opinions and use of robot-assisted and laparoscopic minimally invasive pancreatic surgery: 5-year follow up.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Sep 6, 2023
BACKGROUND: Evidence on the value of minimally invasive pancreatic surgery (MIPS) has been increasing but it is unclear how this has influenced the view of pancreatic surgeons on MIPS.
Implementation of robotic pancreaticoduodenectomy at a community tertiary care hospital utilizing a comprehensive curriculum.
American journal of surgery
Aug 19, 2023
BACKGROUND: We evaluated the outcomes of a robotic pancreaticoduodenectomy (RPD) program implemented at a community tertiary care hospital.
Deep learning-based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment.
European radiology
Aug 12, 2023
OBJECTIVES: To evaluate the prognostic value of CT-based markers of sarcopenia and myosteatosis in comparison to the Eastern Cooperative Oncology Group (ECOG) score for survival of patients with advanced pancreatic cancer treated with high-intensity ...
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 ...
A deep-learning radiomics-based lymph node metastasis predictive model for pancreatic cancer: a diagnostic study.
International journal of surgery (London, England)
Aug 1, 2023
OBJECTIVES: Preoperative lymph node (LN) status is essential in formulating the treatment strategy among pancreatic cancer patients. However, it is still challenging to evaluate the preoperative LN status precisely now.
Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.
Journal of computer assisted tomography
Jul 22, 2023
OBJECTIVE: To evaluate the image quality and lesion detectability of pancreatic phase thin-slice computed tomography (CT) images reconstructed with a deep learning-based reconstruction (DLR) algorithm compared with filtered-back projection (FBP) and ...
A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging.
Current opinion in gastroenterology
Jul 18, 2023
PURPOSE OF REVIEW: Early and accurate diagnosis of pancreatic cancer is crucial for improving patient outcomes, and artificial intelligence (AI) algorithms have the potential to play a vital role in computer-aided diagnosis of pancreatic cancer. In t...
A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma.
Cancer medicine
Jul 17, 2023
BACKGROUND AND AIMS: Endoscopic ultrasonography-guided fine-needle aspiration/biopsy (EUS-FNA/B) is considered to be a first-line procedure for the pathological diagnosis of pancreatic cancer owing to its high accuracy and low complication rate. The ...
Robotic distal pancreatectomy using a docking-free system (the hinotori™ Surgical Robot System).
Surgical oncology
Jul 11, 2023
BACKGROUND: Although robotic surgery has rapidly spread in pancreatectomy [1], the procedure is performed by the da Vinci™ Surgical System (Intuitive Surgical Inc., CA), the most common surgical robot in the world [2]. We herein present our first exp...
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