AIMC Topic: Adenocarcinoma

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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Aged Aged, 80 and over Adult Stomach Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Nomograms Humans Adenocarcinoma Prognosis Lymphatic Metastasis Neoplasm Staging Male Middle Aged Deep Learning Lymph Nodes
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Finding Barrett's oesophagus: is there a machine learning approach in our future?

The Lancet. Digital health Dec 23, 2019
Humans Adenocarcinoma Machine Learning Esophageal Neoplasms Barrett Esophagus Case-Control Studies
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Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study.

Gut Nov 28, 2019
OBJECTIVE: Diagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. However, additional prognostic markers could be detected on pathological slides using artificial intelligence tools.
Colonic Neoplasms Disease-Free Survival Image Interpretation, Computer-Assisted Lymphocytes, Tumor-Infiltrating Neoplasm Invasiveness Neoplasm Staging Humans Artificial Intelligence Prognosis Antineoplastic Combined Chemotherapy Protocols Adenocarcinoma
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A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine.

BMC genomics Nov 13, 2019
BACKGROUND: Recent studies have shown that long non-coding RNAs (lncRNAs) play a crucial role in the induction of cancer through epigenetic regulation, transcriptional regulation, post-transcriptional regulation and other aspects, thus participating ...
Humans Adenocarcinoma Support Vector Machine RNA, Long Noncoding Microsatellite Instability Prognosis Stomach Neoplasms Cohort Studies Models, Genetic Disease-Free Survival Kaplan-Meier Estimate
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Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides.

JAMA network open Nov 1, 2019
IMPORTANCE: Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown pro...
Biopsy Esophageal Neoplasms Microscopy Datasets as Topic Humans Neural Networks, Computer Barrett Esophagus Computer Simulation Deep Learning Adenocarcinoma
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Robotic anatomic pulmonary segmentectomy: technical approach and outcomes.

Revista do Colegio Brasileiro de Cirurgioes Sep 30, 2019
OBJECTIVE: to report our initial experience with pulmonary robotic segmentectomy, describing the surgical technique, the preferred positioning of portals, initial results and outcomes.
Pneumonectomy Indocyanine Green Robotics Minimally Invasive Surgical Procedures Prospective Studies Robotic Surgical Procedures Male Female Humans Middle Aged Aged Lung Neoplasms Adenocarcinoma
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Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus.

Gut Sep 20, 2019
Esophageal Neoplasms Barrett Esophagus Endoscopy Humans Diagnosis, Computer-Assisted Adenocarcinoma Artificial Intelligence Predictive Value of Tests
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Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

Medical image analysis Sep 18, 2019
Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow. The development of automated methods for nuclear segmentation and classification enables th...
Histological Techniques Humans Staining and Labeling Neural Networks, Computer Adenocarcinoma Colorectal Neoplasms Datasets as Topic Cell Nucleus
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Precision Surgical Therapy for Adenocarcinoma of the Esophagus and Esophagogastric Junction.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Aug 20, 2019
INTRODUCTION: To facilitate the initial clinical decision regarding whether to use esophagectomy alone or neoadjuvant therapy in surgical care for individual patients with adenocarcinoma of the esophagus and esophagogastric junction-information not a...
Esophagogastric Junction Aged Adenocarcinoma Esophageal Neoplasms Humans Survival Analysis Machine Learning
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Humans Cholesterol, HDL Machine Learning Amyloidosis Risk Factors Biomarkers Triglycerides Models, Statistical Animals Diarrhea Retrospective Studies Cholesterol, LDL Serum Amyloid A Protein Male Arthritis Adenocarcinoma Female Gastrointestinal Neoplasms Disease Models, Animal Wounds and Injuries Case-Control Studies Endometriosis Macaca mulatta Colitis
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