AIMC Topic: Stomach Neoplasms
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Deep learning for automatic diagnosis of gastric dysplasia using whole-slide histopathology images in endoscopic specimens.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Apr 8, 2022
BACKGROUND: Distinguishing gastric epithelial regeneration change from dysplasia and histopathological diagnosis of dysplasia is subject to interobserver disagreement in endoscopic specimens. In this study, we developed a method to distinguish gastri...
Deep learning based on hematoxylin-eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma.
The Journal of pathology
Mar 31, 2022
In gastric cancer (GC), there are four molecular subclasses that indicate whether patients respond to chemotherapy or immunotherapy, according to the TCGA. In clinical practice, however, not every patient undergoes molecular testing. Many laboratorie...
A novel flexible auxiliary single-arm transluminal endoscopic robot facilitates endoscopic submucosal dissection of gastric lesions (with video).
Surgical endoscopy
Mar 24, 2022
BACKGROUND: Using conventional endoscope to perform endoscopic submucosal dissection (ESD) is difficult because of the one-handed operation and blind dissection caused by gravity. Poor visualization of the submucosal plane causes ESD to be associated...
Robot-assisted completion gastrectomy preserving interposed jejunum in remnant gastric cancer following a proximal gastrectomy reconstructed by jejunal interposition: A case report.
Asian journal of endoscopic surgery
Mar 6, 2022
Minimally invasive completion gastrectomy is technically demanding and comprises a variety of procedures depending on the previous operation. We present herein a case of robot-assisted completion gastrectomy preserving the interposed jejunum in remna...
Interpretable tumor differentiation grade and microsatellite instability recognition in gastric cancer using deep learning.
Laboratory investigation; a journal of technical methods and pathology
Feb 17, 2022
Gastric cancer possesses great histological and molecular diversity, which creates obstacles for rapid and efficient diagnoses. Classic diagnoses either depend on the pathologist's judgment, which relies heavily on subjective experience, or time-cons...
Can artificial intelligence be your angel to diagnose early gastric cancer in real clinical practice?
Gastrointestinal endoscopy
Feb 15, 2022
Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.
Computational and mathematical methods in medicine
Feb 12, 2022
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. There...
What is necessary to shorten the operative time in initial introduction of robotic gastrectomy for gastric cancer?
Asian journal of endoscopic surgery
Feb 2, 2022
INTRODUCTION: Robotic gastrectomy (RG) is a good alternative to laparoscopic gastrectomy, as it improves treatment outcomes and reduces the burden of technical difficulties; however, prolonged operative time may be a disadvantage. This study aimed to...
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer.
Medical physics
Feb 1, 2022
PURPOSE: We aimed to develop a noninvasive artificial intelligence (AI) model to diagnose signet-ring cell carcinoma (SRCC) of gastric cancer (GC) and identify patients with SRCC who could benefit from postoperative chemotherapy based on preoperative...
Ultrasound Image-Guided Nerve Block Combined with General Anesthesia under an Artificial Intelligence Algorithm on Patients Undergoing Radical Gastrectomy for Gastric Cancer during and after Operation.
Computational and mathematical methods in medicine
Jan 19, 2022
This study was aimed at investigating the location of gastric cancer by using a gastroscope image based on an artificial intelligence algorithm for gastric cancer and the effect of ultrasonic-guided nerve block combined with general anesthesia on pat...
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