ArticleLa Radiologia medica2023
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.
Article in La Radiologia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- AI-Assisted Brain Tumor MRI Reporting and Treatment-Planning Segmentation: A Retrospective Paired Workflow Evaluation.Biomedicines · 2026Article
- ChatGPT in Public Cardiovascular Healthcare: Accuracy, Limitations, and Implications.Journal of evaluation in clinical practice · 2026Article
- Decoding collaboration obstacles: a survey on reporting preferences between neuroradiologists and clinical specialists.Insights into imaging · 2026Article
- Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports.Insights into imaging · 2026Article
- GPT-4o for Automated Determination of Follow-up Examinations Based on Radiology Reports from Clinical Routine.Scientific reports · 2026Article
- Foundation models for X-ray interpretation: a narrative review of current techniques and future perspectives in diagnostic imaging.Quantitative imaging in medicine and surgery · 2026Review
- A multicenter multifunctional assessment of large language models in pure-tone audiogram interpretation for patients.NPJ digital medicine · 2026Article
- Multimodal machine learning for menopause status prediction using LLM-extracted ultrasound features.Frontiers in endocrinology · 2026Article
- Zero-Shot PI-RADS Version 2.1 Scoring with ChatGPT-4 Turbo and Llama 3: Diagnostic Performance and Agreement with Abdominal Radiologists.Radiology. Imaging cancer · 2026Article
- Trends and Trajectories in the Rise of Large Language Models in Radiology: Scoping Review.JMIR medical informatics · 2025Article
- Evaluating Large Language Models in Interpreting MRI Reports and Recommending Treatment for Vestibular Schwannoma.Diagnostics (Basel, Switzerland) · 2025Article
- Comparative Evaluation of Large Language Models in Explaining Radiology Reports: Expert Assessment of Readability, Understandability, and Communication Features.Insights into imaging · 2025Article
- Comparison of CT referral justification using clinical decision support and large language models in a large European cohort.European radiology · 2025Article
- The Use of ChatGPT-4.0 to Simplify Breast Pathology Reports: A Study on Readability and Accuracy.Annals of surgical oncology · 2025Article
- AI Revolution in Radiology, Radiation Oncology and Nuclear Medicine: Transforming and Innovating the Radiological Sciences.Journal of medical imaging and radiation oncology · 2025Review
- Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models.Tomography (Ann Arbor, Mich.) · 2025Article
- Conversion of Mixed-Language Free-Text CT Reports of Pancreatic Cancer to National Comprehensive Cancer Network Structured Reporting Templates by Using GPT-4.Korean journal of radiology · 2025Article
- Radiological Reporting of Brain Atrophy in MRI: Real-Life Comparison Between Narrative Reports, Semiquantitative Scales and Automated Software-Based Volumetry.Diagnostics (Basel, Switzerland) · 2025Article
- Large language models for structured reporting in radiology: past, present, and future.European radiology · 2025Review
- Automated structured data extraction from intraoperative echocardiography reports using large language models.British journal of anaesthesia · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structured reporting may improve the radiological workflow and communication among physicians. Artificial intelligence applications in medicine are growing fast. Large language models (LLMs) are recently gaining importance as valuable tools in radiology and are currently being tested for the critical task of structured reporting. We compared four LLMs models in terms of knowledge on structured reporting and templates proposal. LLMs hold a great potential for generating structured reports in radiology but additional formal validations are needed on this topic.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.