Three‐dimensional printing (3DP) has recently gained importance in the medical industry,
especially in surgical specialties. It uses different techniques and materials based on …

Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
to address eminent problems in developing reliable computer aided detection and diagnosis …

Background Development of a deep learning method to identify Barrett's esophagus (BE)
scopes in endoscopic images. Methods 443 endoscopic images from 187 patients of BE …

Endoscopic diagnosis of gastroesophageal junction and Barrett's esophagus is essential for
surveillance and early detection of esophageal adenocarcinoma and esophagogastric …

Simple Summary Esophageal adenocarcinoma is increasing in incidence and is the most
common subtype of esophageal cancer in Western societies. AI systems are currently under …

Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough
screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting …

Laryngeal hemiplegia (LH) is a major upper respiratory tract (URT) complication in
racehorses. Endoscopy imaging of horse throat is a gold standard for URT assessment …

Barrett's esophagus (BE) represents a pre-malignant condition characterized by abnormal
cellular proliferation in the distal esophagus. A timely and accurate diagnosis of BE is …

Simple Summary The implementation of artificial intelligence in healthcare has gained
significant momentum over the last decade, particularly in specialties where image analysis …