Trends by Subspecialty Practice Area
Imaging Informatics
October 30, 2024
Attendees should look for sessions with pixel-based AI and its applications as well as those with text-based AI such as large language models and natural language reporting.
- Artificial Intelligence Empowered Radiology: Unleashing the Power of Language Models for an Intelligent Future
- Can Privacy-Preserving Vision-Based Large Language Models Pre-Fill the Findings Section of Radiology Reports?
- Enhancing Radiology Reporting Accuracy with AI Driven Error Detection
- Pixel-Perfect Protection: Cybersecurity Tactics for Radiologists
- Accurate Skeleton Segmentation Without Manual Contouring: A Study of 9,262 Subjects
- Radiology Report Annotation Benchmark (RRAB): A Large Language Model Benchmark for Structured Data Extraction from Radiology Reports
Editor's Picks
Ensuring Pregnant and Lactating People Get the Breast Cancer Screenings They Need
Appropriate Screening Modality Selection Is Critical for Surveilling Childhood Cancer Predisposition Syndromes
Targeted US Screening Helps Detect Disease Early in High-Risk Infants
Cognitive Bias in Radiology: Understanding the "Hard-Easy" Effect