Article

Empowering PET Imaging Reporting with Retrieval-Augmented Large Language Models and Reading Reports Database: A Pilot Single Center Study

2024-05-14

Abstract excerpt

<h4>Introduction</h4> The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented LLM system considering zero-shot learning capability of LLMs, integrated with a comprehensive PET reading reports database, in improving referring previous reports and decision-maki...

Topics

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

Identifiers and source

Literature Corpus work: dc5a7fd8-292f-52ae-8d20-dd821f5cd799
DOI: 10.1101/2024.05.13.24307312

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Empowering PET Imaging Reporting with Retrieval-Augmented Large Language Models and Reading Reports Database: A Pilot Single Center StudyDOI 10.1101/2024.05.13.24307312Read

Diagnostic Performance of Large Language Models and Radiologists in Case-Based Radiology QuestionsSemantic proximity Read

A Framework for Extraction of Clinical Information from Radiological Mammography Reports Using Large Language Models and Retrieval Augmented Generation.Semantic proximity Read

Enhancing Medical Imaging Diagnostics Through Large Language Model-Based Knowledge IntegrationSemantic proximity Read

Comparative Evaluation the Knowledge of Large Language Models about Response Evaluation Criteria in Solid Tumors?Semantic proximity Read

Comparative Analysis of ChatGPT’s Diagnostic Performance with Radiologists Using Real-World Radiology Reports of Brain TumorsSemantic proximity Read

Grounded large language models for diagnostic prediction in real-world emergency department settingsSemantic proximity Read

Evaluating approaches of training a generative large language model for multi-label classification of unstructured electronic health recordsSemantic proximity Read

Revolutionizing Disease Diagnosis with Large Language Models: A Systematic ReviewSemantic proximity Read

Empowering Radiologists with ChatGPT-4o: Comparative Evaluation of Large Language Models and Radiologists in Cardiac CasesSemantic proximity Read

Mitigating Hallucinations in Large Language Models: A Comparative Study of RAG-enhanced vs. Human-Generated Medical TemplatesSemantic proximity Read

Utility of ChatGPT-4 in Musculoskeletal Imaging: A Narrative ReviewSemantic proximity Read

Performance of Open-Source LLMs in Challenging Radiological Cases – A Benchmark Study on 1,933 Eurorad Case ReportsSemantic proximity Read