Latest AI and machine learning research in colon cancer for healthcare professionals.
Surgical Video Question Answering (VideoQA) provides a promising paradigm for dynamic intraoperative...
Background: Obesity significantly increases the risk of prognosis and clinical outcomes in pancreati...
Introduction: Infectious and wound-healing complications after colorectal surgery often increase the...
Vision-language models (VLMs) have recently emerged as a promising paradigm for video anomaly detect...
Learning robust representations of polyp tracklets is key to enabling multiple AI-assisted colonosco...
We introduce a hybrid quantum-classical pipeline, based on neutral-atom reservoir computing, for med...
Real-world image degradation is often unknown, spatially non-uniform, and compositional, requiring a...
Abstract Objective: Structured extraction from clinical free-text depends on human annotators whose ...
Predicting microsatellite instability (MSI) status from routine hematoxylin and eosin (H&E) whole sl...
Accurate histological differentiation between adenocarcinoma (ADC) and squamous cell carcinoma (SCC)...
Biomolecular interactions lie at the core of cellular life, spanning diverse molecular modalities fr...
Surgical resection remains the only potentially curative treatment for pancreatic ductal adenocarcin...
Controllable medical video generation has achieved remarkable progress, but it still lacks interpret...
The molecular characterization of human solid growths has introduced immense genomic complexity and ...
Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer, exhibits profound...
Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indi...
Automated polyp segmentation is critical for early colorectal cancer detection and its prevention, y...
BackgroundPredicting whether a treatment will demonstrate meaningful clinical benefit before committ...
Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Conventional co...
Early identification and removal of polyps can reduce the risk of developing colorectal cancer. Howe...
This study evaluates colorectal risk factors and compares classical models against Quantum Neural Ne...