#radiology3 articles

3 articles

AIBullisharXiv – CS AI · 4h ago3

🧠

Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification

Researchers developed a neurosymbolic verification framework to audit logical consistency in AI-generated radiology reports, addressing issues where vision-language models produce diagnostic conclusions unsupported by their findings. The system uses formal verification methods to identify hallucinations and missing logical conclusions in medical AI outputs, improving diagnostic accuracy.

AIBullisharXiv – CS AI · 4h ago4

🧠

Radiologist Copilot: An Agentic Framework Orchestrating Specialized Tools for Reliable Radiology Reporting

Researchers have developed Radiologist Copilot, an AI agentic framework that orchestrates specialized tools to complete the entire radiology reporting workflow beyond simple report generation. The system integrates image localization, interpretation, template selection, report composition, and quality control to support radiologists throughout the comprehensive reporting process.

AIBullisharXiv – CS AI · 4h ago0

🧠

R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation

Researchers have developed R2GenCSR, a new AI framework for generating radiology reports that uses Mamba architecture instead of Transformers to reduce computational complexity while maintaining performance. The system leverages context retrieval and large language models to produce high-quality medical reports from X-ray images.