AIMC Topic: Stomach Neoplasms
Clear Filters Showing 131 to 140 of 439 articles
Predicting malnutrition in gastric cancer patients using computed tomography(CT) deep learning features and clinical data.
Clinical nutrition (Edinburgh, Scotland)
Feb 6, 2024
OBJECTIVE: The aim of this study is using clinical factors and non-enhanced computed tomography (CT) deep features of the psoas muscles at third lumbar vertebral (L3) level to construct a model to predict malnutrition in gastric cancer before surgery...
An artificial intelligence system for chronic atrophic gastritis diagnosis and risk stratification under white light endoscopy.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Jan 20, 2024
BACKGROUND AND AIMS: The diagnosis and stratification of gastric atrophy (GA) predict patients' gastric cancer progression risk and determine endoscopy surveillance interval. We aimed to construct an artificial intelligence (AI) system for GA endosco...
A novel artificial intelligence-assisted gastric dysplasia detection model to streamline its removal via endoscopic submucosal dissection.
Gastrointestinal endoscopy
Jan 20, 2024
Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Jan 19, 2024
BACKGROUNDS: Cycle-consistent generative adversarial network (CycleGAN) is a deep neural network model that performs image-to-image translations. We generated virtual indigo carmine (IC) chromoendoscopy images of gastric neoplasms using CycleGAN and ...
Endoscopic submucosal dissection of early gastric angle cancer by using a simplified robot-assisted device for traction.
Endoscopy
Jan 17, 2024
Perioperative outcomes of da Vinci robot versus laparoscopic-assisted D2 radical resection of distal gastric cancer with Billroth II anastomosis.
Asian journal of surgery
Jan 5, 2024
Comparison of Short-Term Outcomes After Robotic Versus Laparoscopic Radical Gastrectomy for Advanced Gastric Cancer in Elderly Individuals: A Propensity Score-Matching Study.
Annals of surgical oncology
Dec 23, 2023
BACKGROUND: Robotic gastrectomy (RG) has been widely used to treat gastric cancer. However, whether the short-term outcomes of robotic gastrectomy are superior to those of laparoscopic gastrectomy (LG) for elderly patients with advanced gastric cance...
The effect of thalidomide on the invasive ability of gastric cancer cells by regulating miR-524-5p/FSTL1.
Cellular and molecular biology (Noisy-le-Grand, France)
Dec 20, 2023
This study aimed to investigate the effect of thalidomide (Thal) regulating microRNA (miR)-524-5p/follistatin-like protein 1 (FSTL1) on the invasion ability of gastric cancer cells. For this purpose, real-time fluorescent quantitative PCR (RT-qPCR) w...
Diagnosing and grading gastric atrophy and intestinal metaplasia using semi-supervised deep learning on pathological images: development and validation study.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Dec 14, 2023
OBJECTIVE: Patients with gastric atrophy and intestinal metaplasia (IM) were at risk for gastric cancer, necessitating an accurate risk assessment. We aimed to establish and validate a diagnostic approach for gastric biopsy specimens using deep learn...
Diagnostic accuracy of radiomics-based machine learning for neoadjuvant chemotherapy response and survival prediction in gastric cancer patients: A systematic review and meta-analysis.
European journal of radiology
Dec 5, 2023
BACKGROUND: In recent years, researchers have explored the use of radiomics to predict neoadjuvant chemotherapy outcomes in gastric cancer (GC). Yet, a lingering debate persists regarding the accuracy of these predictions. Against this backdrop, this...
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