#report-generation News & Analysis

3 articles tagged with #report-generation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · May 17/10

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RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Researchers propose RIHA, a novel transformer-based framework that generates radiology reports from medical images by performing hierarchical alignment between visual and textual features across multiple levels. The method outperforms existing approaches on benchmark chest X-ray datasets by treating reports as structured documents rather than flat sequences, improving both clinical accuracy and natural language quality.

AIBullisharXiv – CS AI · 2d ago6/10

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Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation

Researchers introduce Ptah, a multi-agent AI system designed to generate verifiable multimodal research reports by orchestrating planning, evidence collection, and writing stages while maintaining visual-text consistency. The system includes a verification agent to enforce factual grounding and citation accuracy, addressing a key limitation in LLM-generated long-form content that combines text and images.

AIBullisharXiv – CS AI · Mar 24/105

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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.