AIMC Topic: Stomach Neoplasms

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Comparison of the learning curve of robotassisted and laparoscopicassisted gastrectomy.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
OBJECTIVES: Da Vinci robot technology is widely used in clinic,with minimally invasive surgery development. This study aims to explore the possible influence of advanced surgical robotics on the surgery learning curve by comparing the initial clinica...

Machine learning in predicting gastric cancer survival Presenting a novel decision support system model.

Annali italiani di chirurgia
BACKGROUND: Gastric cancer is the 4th most frequent cause of cancer-related deaths, with a 5-year survival rate of less than 40%. In recent years, many artificial intelligence applications have been used in the field of gastric cancer through their e...

Evaluation of deep learning methods for early gastric cancer detection using gastroscopic images.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: A timely diagnosis of early gastric cancer (EGC) can greatly reduce the death rate of patients. However, the manual detection of EGC is a costly and low-accuracy task. The artificial intelligence (AI) method based on deep learning is cons...

Comparison of short term results following robotic and laparoscopic total gastrectomy and D2 lymph node dissection.

Folia medica
In the last decade, there has been a progressive shift from open to mini-invasive operative techniques for surgical resection of gastric cancer. Advanced equipment of surgical robots, with its 3D visualization, steady camera view, flexible instrument...

[A Case of Robotic Distal Pancreatectomy for Pancreatic Metastasis of Gastric Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy
A 78-year-old male who had received laparoscopic total gastrectomy for upper gastric cancer 30 months ago(pT3N0, pStage ⅡB)was referred for further treatment for a 30-mm in size mass at the splenic hilum. The mass was suspected of lymph node metastas...

[A Case of Gastric Granular Cell Tumor Resected by a Surgical Robot].

Gan to kagaku ryoho. Cancer & chemotherapy
A 46-year-old man was referred to further treatment for a 20 mm submucosal tumor at the gastric angle found during a medical check-up. Endoscopic ultrasonography and chest abdominal contrast-enhanced CT revealed the tumor was located at the 4th(prope...

DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.

Bioinformatics (Oxford, England)
MOTIVATION: The molecular subtyping of gastric cancer (adenocarcinoma) into four main subtypes based on integrated multiomics profiles, as proposed by The Cancer Genome Atlas (TCGA) initiative, represents an effective strategy for patient stratificat...

[Application and progress of artificial intelligence technology in gastric cancer diagnosis and treatment].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Artificial intelligence (AI) is one of the most rapidly evolving fields in biomedicine during the past decade. Represented by radiomics, machine learning and deep neural network, AI has been increasingly favored by researchers due to its ability to o...

Analysis of classification tradeoff in deep learning for gastric cancer detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This study aimed to build convolutional neural network (CNN) models capable of classifying upper endoscopy images, to determine the stage of infection in the development of a gastric cancer. Two different problems were covered. A first one with a sma...

Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer.

World journal of gastroenterology
BACKGROUND: Bleeding is one of the major complications after endoscopic submucosal dissection (ESD) in early gastric cancer (EGC) patients. There are limited studies on estimating the bleeding risk after ESD using an artificial intelligence system.