Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Postoperative pancreatic fistula (POPF) represents the most feared complication after distal pancreatectomy, and the possible role of robotic assistance in this setting is poorly investigated so far.
Deep learning has emerged as the leading method in machine learning, spawning a rapidly growing field of academic research and commercial applications across medicine. Deep learning could have particular relevance to rheumatology if correctly utilized. The greatest benefits of deep learning methods are seen with unstructured data frequently found in rheumatology, such as images and text, where tra...
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and COVID-19 risk assessment. This study presents a deep...
Robot-assisted minimal access surgery (MAS), compared with conventional MAS, has shown a number of benefits across several therapeutic indications but...
PURPOSE: Endoscopic sinus surgery (ESS) has been recognized as an effective treatment modality for paranasal sinus diseases. Over the past decade, con...
Stem cell-derived organoids are a promising tool to model native human tissues as they resemble human organs functionally and structurally compared to...
BACKGROUND: Robot-assisted extravesical ureteral reimplantation (REVUR) is a well established approach for surgical treatment of pediatric vesicourete...
BACKGROUND AND OBJECTIVE: Â Sharing of medical data is required to enable the cross-agency flow of healthcare information and construct high-accuracy ...
BACKGROUND: Adequate lymphadenectomy during gastroesophageal junction (GEJ) cancer resection is essential, because lymph node (LN) metastasis correlat...
PURPOSE: To investigate the effects of deep learning-based imaging reconstruction (DLR) on the image quality of MRI of rectal cancer after chemoradiot...
BACKGROUND: This study aimed to evaluate the perioperative outcomes of patients undergoing robot-assisted McKeown esophagectomy (RAME) and the learnin...
Radiological images have shown promising effects in patient prognostication. Deep learning provides a powerful approach for in-depth analysis of imagi...
PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed onset of jaundice. In the current practice, percu...
An 85-year-old woman presented with a stomachache after a meal and was admitted to the previous clinic. Multi-detector computed tomography (CT) of the...
BACKGROUND AND OBJECTIVES: Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)-stained slides numericall...
As the labeling cost of object detection for medical images is very high, semi-supervised learning methods for medical images are investigated. In thi...
The use of high-speed video-endoscopy (HSV) in the study of phonatory processes linked to speech needs the precise identification of vocal fold bounda...
Transanal excision of benign lesions, moderately or well-differentiated rectal T1 adenocarcinomas is typically completed via transanal endoscopic micr...
BACKGROUND: Despite increasing focus on the technical performance of total mesorectal excision over recent decades, anastomotic leakage (AL) continues...
Endoscopic remission is now considered the ultimate long-term goal for treating inflammatory bowel disease (IBD). Recent advances in endoscopic techni...