AIMC Topic: Stomach

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A gastric retentive robotic capsule enables emergency-prepared and responsive oral drug delivery in canine models.

Science advances
Existing oral drug delivery modalities often fall short in medical emergencies due to the absence of readily deployable, internalized drug storage and delivery mechanisms that combine long-term standby with rapid activation. To address this challenge...

SATU-net: a shadow adaptive tracing U-net for gastric cavity segmentation based on the principle of ultrasound imaging.

Scientific reports
Accurate segmentation of gastric cavities from ultrasound images remains a challenging task due to the presence of ultrasound shadow and varying anatomical structures. To address these challenges, we collected a Gastric Ultrasound Image (GUSI) datase...

Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning.

Scientific reports
In this paper, we develop a combination of algorithms, including camera motion detector (CMD), deep learning models, class activation mapping (CAM), and periodical feature detector for the purpose of evaluating human gastric motility by detecting the...

Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Scientific reports
Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a cause of chronic gastritis, peptic ulcers and gastric carcinoma. The manual detection of HP in a glass slide with a microscope is extremely time-cons...

Design and application of ISSA-BP neural network model for predicting soft tissue relaxation force.

Acta of bioengineering and biomechanics
: Accurate biomechanical modeling is crucial for enhancing the realism of virtual surgical training. This study addressed the computational cost and complexity associated with traditional viscoelastic models by incorporating neural network algorithms...

Protocol for AI-based segmentation and quantification of interstitial cells of Cajal in murine gastric muscle.

STAR protocols
Interstitial cells of Cajal (ICCs), pacemaker and neuromodulator cells in the gastrointestinal (GI) tract, play an important role in GI motility. However, quantifying ICCs is challenging due to their mixed morphologies. Here, we present a protocol fo...

Gastric ultrasound: Enhancing preoperative risk assessment and patient safety.

Journal of perioperative practice
Perioperative pulmonary aspiration is a critical complication linked to significant morbidity and mortality, particularly in high-risk populations such as patients with diabetes, obesity, gastroparesis, or those using Glucagon-Like-Peptide-1 receptor...

DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images.

IEEE journal of biomedical and health informatics
Gastric cancer has a high incidence rate, significantly threatening patients' health. Gastric histopathology images can reliably diagnose related diseases. Still, the data volume of histopathology images is too large, making misdiagnosis or missed di...

Origami-Inspired Bionic Soft Robot Stomach with Self-Powered Sensing.

Advanced healthcare materials
The stomach is a vital organ in the human digestive system, and its digestive condition is critical to human health. The physical movement of the stomach during digestion is controlled by the circular and oblique muscles. Existing stomach simulators ...

A new artificial intelligence system for both stomach and small-bowel capsule endoscopy.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Despite the benefits of artificial intelligence in small-bowel (SB) capsule endoscopy (CE) image reading, information on its application in the stomach and SB CE is lacking.