Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
Capsule endoscopy event detection is challenging because clinically relevant findings are sparse, vi...
Video Capsule Endoscopy (VCE) poses a challenging multi-label temporal classification problem, requi...
Background. RGB-trained capsule-endoscopy classifiers underperform on small-vessel vascular findings...
Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal...
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS...
Background CLN3 disease, also known as juvenile neuronal ceroid lipofuscinosis, is a rare and neurod...
High-throughput accurate protein-protein interaction (PPI) prediction is foundational to systems-lev...
Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the sma...
Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the sma...
Large language model (LLM) agents have automated tool use in chemistry, but orchestrating multi step...
Capsule endoscopy (CE) enables non-invasive gastrointestinal screening, but current CE research rema...
Artificial Intelligence (AI)-based methods for 3D protein structure prediction are revolutionising s...
Purpose: To develop and evaluate deep learning models for automated detection of corneal perforation...
Gastrointestinal diseases impose a growing global health burden, and endoscopy is a primary tool for...
Protein-protein interactions (PPIs) between a virus and its host govern infection, replication, and ...
Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...
Early screening via colonoscopy is critical for colon cancer prevention, yet developing robust AI sy...
Background: Current risk assessment tools for guiding direct oral anticoagulant (DOAC) therapy for p...
Goal-oriented semantic communication has recently emerged in wireless sensor-actuator networks, emph...
Capsule endoscopy event detection is challenging because diagnostically relevant findings are sparse...
This work presents a multi-label classification framework for video capsule endoscopy (VCE) that add...