AIMC Topic: Radiology Information Systems

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Integrating Large language models into radiology workflow: Impact of generating personalized report templates from summary.

European journal of radiology May 25, 2025
OBJECTIVE: To evaluate feasibility of large language models (LLMs) to convert radiologist-generated report summaries into personalized report templates, and assess its impact on scan reporting time and quality.
Tomography, X-Ray Computed Female Humans Retrospective Studies Workflow Feasibility Studies Radiology Information Systems Male Natural Language Processing Large Language Models
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Use of Open-Source Large Language Models for Automatic Synthesis of the Entire Imaging Medical Records of Patients: A Feasibility Study.

Tomography (Ann Arbor, Mich.) Apr 16, 2025
BACKGROUND/OBJECTIVES: Reviewing the entire history of imaging exams of a single patient's records is an essential step in clinical practice, but it is time and resource consuming, with potential negative effects on workflow and on the quality of med...
Large Language Models Programming Languages Feasibility Studies Diagnostic Imaging Radiology Information Systems Electronic Health Records Humans Workflow Natural Language Processing
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External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection.

Academic radiology Apr 11, 2025
PURPOSE: Prostate imaging reporting and data systems (PI-RADS) experiences considerable variability in inter-reader performance. Artificial Intelligence (AI) algorithms were suggested to provide comparable performance to PI-RADS for assessing prostat...
Prostatic Neoplasms Image Interpretation, Computer-Assisted Radiology Information Systems Retrospective Studies Middle Aged Reproducibility of Results Magnetic Resonance Imaging Sensitivity and Specificity Artificial Intelligence Male Algorithms Aged Humans
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Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

IEEE transactions on pattern analysis and machine intelligence Apr 8, 2025
Given radiology images, automatic radiology report generation aims to produce informative text that reports diseases. It can benefit current clinical practice in diagnostic radiology. Existing methods typically rely on large-scale medical datasets an...
SARS-CoV-2 Deep Learning Radiology Information Systems Large Language Models Natural Language Processing COVID-19 Algorithms Humans
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Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework.

JMIR medical informatics Mar 28, 2025
BACKGROUND: Labeling unstructured radiology reports is crucial for creating structured datasets that facilitate downstream tasks, such as training large-scale medical imaging models. Current approaches typically rely on Bidirectional Encoder Represen...
Humans Radiology Information Systems Natural Language Processing Radiography, Thoracic
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Knowledge Graph-Based Few-Shot Learning for Label of Medical Imaging Reports.

Academic radiology Mar 25, 2025
BACKGROUND: The application of artificial intelligence (AI) in the field of automatic imaging report labeling faces the challenge of manually labeling large datasets.
Machine Learning Humans Lumbar Vertebrae Artificial Intelligence Radiology Information Systems
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Revisiting medical image retrieval via knowledge consolidation.

Medical image analysis Mar 22, 2025
As artificial intelligence and digital medicine increasingly permeate healthcare systems, robust governance frameworks are essential to ensure ethical, secure, and effective implementation. In this context, medical image retrieval becomes a critical ...
Radiology Information Systems Diagnostic Imaging Information Storage and Retrieval Artificial Intelligence Algorithms Humans
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Topicwise Separable Sentence Retrieval for Medical Report Generation.

IEEE transactions on medical imaging Mar 17, 2025
Automated radiology reporting holds immense clinical potential in alleviating the burdensome workload of radiologists and mitigating diagnostic bias. Recently, retrieval-based report generation methods have garnered increasing attention. These method...
Humans Databases, Factual Natural Language Processing Algorithms Information Storage and Retrieval Radiology Information Systems
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[Transformation of free-text radiology reports into structured data].

Radiologie (Heidelberg, Germany) Feb 11, 2025
BACKGROUND: The rapid development of large language models (LLMs) opens up new possibilities for the automated processing of medical texts. Transforming unstructured radiology reports into structured data is crucial for efficient use in clinical deci...
Radiology Information Systems Humans Neural Networks, Computer Deep Learning Machine Learning Natural Language Processing
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Multi-modal dataset creation for federated learning with DICOM-structured reports.

International journal of computer assisted radiology and surgery Feb 3, 2025
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging...
Tomography, X-Ray Computed Deep Learning Radiology Information Systems Humans Electrocardiography Federated Learning Datasets as Topic
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