Article

Current Landscape of Automatic Radiology Report Generation with Deep Learning: An Exploratory Systematic Review

2025-11-03

Abstract excerpt

Automatic radiology report generation (ARRG) has emerged as a promising application of deep learning (DL) with the potential to alleviate reporting workload and improve diagnostic consistency. However, despite rapid methodological advances, the field re-mains technically fragmented and not yet mature for routine clinical adoption. This systematic review maps the current ARRG research landscape by examining DL arch...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c4f21f54-0d68-50b3-90ef-4b73075fee34
DOI: 10.20944/preprints202511.0010.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Current Landscape of Automatic Radiology Report Generation with Deep Learning: An Exploratory Systematic ReviewDOI 10.20944/preprints202511.0010.v1Read

Automating Radiology Report Generation: A Systematic Review of Deep Learning MethodsSemantic proximity Read

AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-raysSemantic proximity Read

IHRAS: Automated Medical Report Generation from Chest X-rays via Classification, Segmentation, and LLMsSemantic proximity Read

Astra: a generalizable report generation foundation model for 3D computed tomographySemantic proximity Read

Large Language Models for Classifying Usual Interstitial Pneumonia from Radiology Reports: Native Reasoning Versus Structured PromptingSemantic proximity Read

RadStructAgent: Agentic Structuring of Free-Text Chest X-ray Reports with Small Language ModelsSemantic proximity Read

Pillar-0: A New Frontier for Radiology Foundation ModelsSemantic proximity Read

Risk Aware Prompt-Guided CNN–LLM Framework for Brain MRI Diagnostic Report GenerationSemantic proximity Read

Designing a computer-assisted diagnosis system for cardiomegaly detection and radiology report generationSemantic proximity Read

MedSAM2-CXR: A Box-Latent Framework for Chest X-ray Classification and Report GenerationSemantic proximity Read

Developing Deep Learning Models for Classifying Medical Imaging DataSemantic proximity Read

Making densenet interpretable a case study in clinical radiologySemantic proximity Read