Dratsch, T

Latest

• Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance
• Radiomics-Based Prediction of Future Portal Vein Tumor Infiltration in Patients with HCC—A Proof-of-Concept Study
• Using an Endoluminal Functional Lumen Imaging Probe (EndoFLIP™) to Compare Pyloric Function in Patients with Gastroparesis to Patients After Esophagectomy
• Comprehensive analysis of Twitter usage during a major medical conference held virtually versus in-person
• Palliation of malignant dysphagia with a segmented self-expanding metal stent
• Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives
• Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
• Are gamers better laparoscopic surgeons? Impact of gaming skills on laparoscopic performance in Generation Y students
• Artificial intelligence abstracts from the European Congress of Radiology: analysis of topics and compliance with the STARD for abstracts checklist
• Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
• Web-Based Immersive Patient Simulator as a Curricular Tool for Objective Structured Clinical Examination Preparation in Surgery: Development and Evaluation