The Journal of international medical research
Sep 1, 2024
OBJECTIVE: Artificial intelligence (AI) could help medical practitioners in analyzing radiological images to determine the presence and site of bowel obstruction. This retrospective diagnostic study proposed a series of deep learning (DL) models for ...
The international journal of medical robotics + computer assisted surgery : MRCAS
Feb 1, 2024
BACKGROUND: Swift and accurate decision-making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision-making in intestinal obstruction cases.
BACKGROUND AND AIMS: Passable intestinal strictures are frequently detected on capsule endoscopy [CE]. Such strictures are a major component of inflammatory scores. Deep neural network technology for CE is emerging. However, the ability of deep neura...
To analyze the risk factors of postoperative intestinal obstruction (POI) in patients undergoing robot-assisted laparoscopic radical prostatectomy (RARP). The clinical data of 573 patients receiving RARP from January to December 2019 in Nanjing Dru...
The purpose of this pilot study is to determine whether a deep convolutional neural network can be trained with limited image data to detect high-grade small bowel obstruction patterns on supine abdominal radiographs. Grayscale images from 3663 clini...
BACKGROUND/AIMS: The aim of this study was to report on the feasibility of esophagojejunostomy reconstruction using a robot-sewing technique during a completely robotic total gastrectomy for gastric cancer.
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