GERD

Molecular Association Assay Systems for Imaging Protein-Protein Interactions in Mammalian Cells.

Molecular imaging probes play a pivotal role in assaying molecular events in various physiological systems. In this study, we demonstrate a new genre of bioluminescent probes for imaging protein-protein interactions (PPIs) in mammalian cells, named the molecular association assay (MAA) probe. The MAA probe is designed to be as simple as a full-length marine luciferase fused to a protein of interes...

Be precise, be reproducible! The emerging role of artificial intelligence in inflammatory bowel disease endoscopy.

Parental education in pediatric dysphagia: A comparative analysis of three large language models.

OBJECTIVES: This study evaluates the effectiveness of three widely used large language models (LLMs)-ChatGPT-4, Copilot, and Gemini-in providing accur...

Artificial intelligence system improves the quality of digestive endoscopy: A prospective pretest and post-test single-center clinical trial.

BACKGROUND: With the assistance of ENDOANGEL, a study was conducted at Hainan General Hospital to evaluate the effect of artificial intelligence (AI) ...

Topology-driven negative sampling enhances generalizability in protein-protein interaction prediction.

MOTIVATION: Unraveling the human interactome to uncover disease-specific patterns and discover drug targets hinges on accurate protein-protein interac...

Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation

Adversarial attacks have been fairly explored for computer vision and vision-language models. However, the avenue of adversarial attack for the visi...

Sim2Real in endoscopy segmentation with a novel structure aware image translation

Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doctors and surgeons for diagnosis, treatments or medi...

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a 10-fold increase in mortality. The development of ...

The influence of prompt engineering on large language models for protein-protein interaction identification in biomedical literature.

Identifying protein-protein interactions (PPIs) is a foundational task in biomedical natural language processing. While specialized models have been d...

A Comprehensive Review of Arachnoid Cysts.

Arachnoid cysts are cerebrospinal fluid (CSF)-filled sacs that develop within the arachnoid membrane surrounding the brain or spinal cord, often remai...

Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension.

BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening patients with suspected pulmonary hypertension (PH)....

Searching for Insights Into the Timing of Intervention in Aortic Regurgitation Using Machine Learning.

WEO Newsletter: The Impact of Artificial Intelligence on Gastrointestinal Endoscopy.

eNCApsulate: NCA for Precision Diagnosis on Capsule Endoscopes

Wireless Capsule Endoscopy is a non-invasive imaging method for the entire gastrointestinal tract, and is a pain-free alternative to traditional end...

Systematic Hardware Integration Testing for Smart Video-based Medical Device Prototypes

This paper presents a hardware-in-the-loop (HIL) verification system for intelligent, camera-based in-body medical devices. A case study of a Video ...

PPS-Ctrl: Controllable Sim-to-Real Translation for Colonoscopy Depth Estimation

Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-truth depth in clinical settings is challenging. Synth...

Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies

Capsule endoscopy is a method to capture images of the gastrointestinal tract and screen for diseases which might remain hidden if investigated with...

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with hepatitis B because of the risk of life-threatening ...

Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm.

BACKGROUND: Early detection of esophageal squamous neoplasms (ESN) is essential for improving patient prognosis. Optical diagnosis of ESN remains chal...

Artificial intelligence in bronchoscopy: a systematic review.

BACKGROUND: Artificial intelligence (AI) systems have been implemented to improve the diagnostic yield and operators' skills within endoscopy. Similar...