GERD

Multi-view vision system for laparoscopy surgery.

PURPOSE: A global endoscopic view of the surgical field could help avoid complications such as perforation of occluded organs and may reduce the endoscope displacements and also the usual time of laparoscopic procedure using a conventional endoscopy system. An augmented laparoscopy system was developed by increasing the field of view of a traditional endoscope. This system was implemented and test...

Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for oropharyngeal cancer (OPC). A systematic review was conducted. The MEDLINE database was searched (MeSH terms: TORS, pharyngeal neoplasms, oropharyngeal neoplasms). Peer-reviewed human subject papers published through December 2013 were included. Exclusion criteria were as follows: (1) case report design (n ...

UnCapsTSR: An Unsupervised Transformer-based Image Super-Resolution Approach for Capsule Endoscopy Images

Wireless Capsule Endoscopy (WCE) captures and streams video while passing through a patient's Gastrointestinal (GI) tract and is used to examine its i...

Image transmission through a multimode fibre in reflection mode with physics-guided deep learning towards ultrathin endoscopy

Ultrathin endoscopy is highly attractive for real-time tissue imaging in narrow and hard-to-reach regions of the body. A single multimode fibre (MMF) ...

Benchmarking Graph Neural Networks for Multi-Omics Cancer Subtyping using Methylation and Gene Expression Profiles

Motivation: Graph Neural Networks (GNNs) have gained increasing interest in the biomedical domain, as the integration of prior knowledge and deep neur...

Dynamics-aware geometric learning predicts disease-associated molecular perturbations

Missense mutations and post-translational modifications (PTMs) are major molecular perturbations that reshape protein function but are traditionally s...

Port of Protein-Protein Interactomes: An experiment-based protein-protein interactome database for rice

Protein protein interactions (PPIs) play a crucial role in enabling proteins to carry out their functions within various biological processes. Rice, a...

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

Temporal vision-language models (TVLMs) offer a reusable, prompt-based interface for surgical video understanding, yet, their robustness under clinica...

TPD52 promotes breast cancer cell migration, invasion and proliferation via activation of the MAPK/ERK signaling pathway

ObjectiveTumor protein D52 (TPD52) is aberrantly expressed in various malignancies; however, its systematic expression profile, prognostic significanc...

Agentic AI-powered flexible fiber-bundle endoscopy for high-resolution NIR-II fluorescence imaging in vivo

Fiber-bundle endoscopy offers a compact and flexible route for clinical fluorescence imaging through natural human orifices, but since its first repor...

Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation

Despite significant advances in Medical Report Generation (MRG), the reliability remains constrained by the prevalence of factual errors. While Direct...

Scalable Extraction of Information on Protein-Protein Interactions using Topological Data Analysis

Protein-protein interactions (PPIs) govern a wide range of cellular functions. The ability to predict PPI interfaces from protein molecular surfaces i...

EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment

The development of foundation models (FMs) is crucial for advancing endoscopic image analysis. However, existing endoscopy FMs mainly rely on self-sup...

Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding

Promptable segmentation foundation models (FMs) such as SAM3 and Medical SAM3 promise few-shot, interactively-specified segmentation for medical imagi...

Multimodal Deep Learning Integrating Electrocardiography and Chest Radiography Enhances Prediction of Incident Regurgitant Valvular Heart Disease

Background: Regurgitant valvular heart disease (rVHD) is a major cause of cardiovascular morbidity. Echocardiography is the diagnostic standard but is...

Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs

Gastrointestinal (GI) endoscopic image analysis has shifted from single-label classification toward visual question answering (VQA), where a model mus...

Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking

Dysphagia is a debilitating late effect of head and neck cancer (HNC) treatment, yet timely identification of at-risk patients remains challenging in ...

X-PAIR: an ultrafast multitask framework for proteome-scale reconstruction of PPI networks and partner-specific interfaces from sequence

Protein-protein interaction prediction and residue-level interface localisation are biologically intertwined but usually treated as separate computati...

ASTRA-Net: Anatomy-Specific Transfer and Representation Alignment for Drug-Induced Sleep Endoscopy Segmentation

Quantitative drug-induced sleep endoscopy (DISE) requires reliable airway boundaries at specific anatomical levels. Pixel-level DISE annotations are s...

Medical Imaging Fusing Vision Transformer: Laryngeal Cancer Screening with Explanation

Early and timely screening of laryngeal cancer is crucial for improving clinical outcomes. In recent years, NBI endoscopy has become a standard diagno...