Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
Omics data analysis is crucial for studying complex diseases, but its high dimensionality and heterogeneity challenge classical statistical and machine learning methods. Graph neural networks have emerged as promising alternatives, yet the optimal strategies for their design and optimization in real-world biomedical challenges remain unclear. This study evaluates various graph representation lea...
To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer. Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA Gene...
The present letter to the editor is related to the study with the title "Automatic detection of small bowel (SB) lesions with different bleeding risk ...
Endoscopic optical coherence tomography (OCT) possesses the capability to non-invasively image internal lumens; however, it is susceptible to saturati...
BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attention so as not to miss significant findings. Deep c...
A 52-year-old, Japanese man presented to the hospital with a complaint of anal bleeding, and detailed examination resulted in a diagnosis of locally a...
Natural language processing (NLP) has become an essential technique in various fields, offering a wide range of possibilities for analyzing data and d...
BACKGROUND: Deep learning provides an efficient automatic image recognition method for small bowel (SB) capsule endoscopy (CE) that can assist physici...
There is a significant relationship between intestinal polyps and colorectal cancer, and in recent years, research on intestinal polyps has been rapid...
Allosteric regulation, induced by perturbations at an allosteric site topographically distinct from the orthosteric site, is one of the most direct an...
Low level of drip loss (DL) is an important quality characteristic of meat with high economic value. However, the key genes and regulatory networks co...
BACKGROUND: In this study, we aimed to develop a new end-to-end learning model called Graph-Drug-Target Interaction (DTI), which integrates various ty...
BACKGROUND/AIM: Vasopressin injected during myomectomy is known to effectively reduce bleeding but is sometimes associated with intraoperative vasocon...
BACKGROUND: Oral cancer is a malignant tumor that usually occurs within the tissues of the mouth. This type of cancer mainly includes tumors in the li...
BACKGROUND: Gastrointestinal tract (GIT) diseases impact the entire digestive system, spanning from the mouth to the anus. Wireless Capsule Endoscopy ...
CLINICAL RATIONALE FOR STUDY: We have reported that intracerebral haemorrhage (ICH) of unknown cause at a young age is associated with lower prothromb...
Gastroenterology is a particularly data-rich field, generating vast repositories of data that are a fruitful ground for artificial intelligence (AI) a...
OBJECTIVES: Digestive endoscopy is an important diagnostic and therapeutic tool for digestive system diseases. The artificial intelligence (AI)-assist...
OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learning using the data from the Australia New Zealand So...