AIMC Topic: Stomach

Clear Filters Showing 41 to 50 of 55 articles

Feed-forward neural network model for hunger and satiety related VAS score prediction.

Theoretical biology & medical modelling
BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding.

Deep learning model for automated detection of Helicobacter pylori and intestinal metaplasia on gastric biopsy digital whole slide images.

American journal of clinical pathology
OBJECTIVE: To develop an automated detection tool for Helicobacter pylori (HP) microorganisms (HPOrg) and intestinal metaplasia (IM) identification on gastric biopsy specimens on hematoxylin and eosin (H&E) whole-slide images (WSIs), incorporating ba...

Swallowable, Remote- Controlled Robot Tours the Stomach, Transmits Live Video.

IEEE pulse
A pill-sized remote-operated vehicle that takes and transmits live video of the inside of a person's stomach could be on the market as early as 2026.

Deep learning-based anatomical position recognition for gastroscopic examination.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The gastroscopic examination is a preferred method for the detection of upper gastrointestinal lesions. However, gastroscopic examination has high requirements for doctors, especially for the strict position and quantity of the archived i...

Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Gastric Intestinal Metaplasia (GIM) is one of the precancerous conditions in the gastric carcinogenesis cascade and its optical diagnosis during endoscopic screening is challenging even for seasoned endoscopists. Several solutions leveraging pre-trai...

Robotic Minimally Invasive Esophagectomy.

Thoracic surgery clinics
Robotic minimally invasive esophagectomy can be safely performed by adhering to key technical principles. Careful development of the gastric conduit with attention to blood supply and conduit orientation is critical. During thoracic dissection, capno...

Current Status of Robotic Gastrointestinal Surgery.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi
Development of surgical support robots began in the 1980s as a navigation and auxiliary device for endoscopic surgery. For remote surgery on the battlefield, a master-slave-type surgical support robot was developed, in which a console surgeon operate...

Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.

The Lancet. Digital health
BACKGROUND: The tumour stroma microenvironment plays an important part in disease progression and its composition can influence treatment response and outcomes. Histological evaluation of tumour stroma is limited by access to tissue, spatial heteroge...

An agglutinate magnetic spray transforms inanimate objects into millirobots for biomedical applications.

Science robotics
Millirobots that can adapt to unstructured environments, operate in confined spaces, and interact with a diverse range of objects would be desirable for exploration and biomedical applications. The continued development of millirobots, however, requi...