AIMC Topic: Radiology Information Systems

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Reshaping free-text radiology notes into structured reports with generative question answering transformers.

Artificial intelligence in medicine Jun 26, 2024
BACKGROUND: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently, the adoption of structured reporting (SR) has been recommended by various medical societies thanks to the a...
Natural Language Processing Italy Humans Electronic Health Records Radiology Information Systems
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A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform.

The Canadian journal of cardiology Jun 15, 2024
The potential of artificial intelligence (AI) in medicine lies in its ability to enhance clinicians' capacity to analyse medical images, thereby improving diagnostic precision and accuracy and thus enhancing current tests. However, the integration of...
Artificial Intelligence Point-of-Care Systems Radiology Information Systems Humans
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Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study.

International journal of medical informatics Apr 4, 2024
OBJECTIVES: This study addresses the critical need for accurate summarization in radiology by comparing various Large Language Model (LLM)-based approaches for automatic summary generation. With the increasing volume of patient information, accuratel...
Magnetic Resonance Imaging Natural Language Processing Radiology Information Systems Knee Feasibility Studies Humans Neural Networks, Computer Retrospective Studies
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Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in Japanese.

Japanese journal of radiology Mar 29, 2024
PURPOSE: To propose a five-point scale for radiology report importance called Report Importance Category (RIC) and to compare the performance of natural language processing (NLP) algorithms in assessing RIC using head computed tomography (CT) reports...
Japan Head East Asian People Natural Language Processing Radiology Information Systems Algorithms Tomography, X-Ray Computed Female Humans Male
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IODeep: An IOD for the introduction of deep learning in the DICOM standard.

Computer methods and programs in biomedicine Mar 8, 2024
BACKGROUND AND OBJECTIVE: In recent years, Artificial Intelligence (AI) and in particular Deep Neural Networks (DNN) became a relevant research topic in biomedical image segmentation due to the availability of more and more data sets along with the e...
Software Computers Deep Learning Artificial Intelligence Radiology Information Systems
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Bidirectional Encoder Representations from Transformers in Radiology: A Systematic Review of Natural Language Processing Applications.

Journal of the American College of Radiology : JACR Jan 30, 2024
INTRODUCTION: Bidirectional Encoder Representations from Transformers (BERT), introduced in 2018, has revolutionized natural language processing. Its bidirectional understanding of word context has enabled innovative applications, notably in radiolog...
Humans Radiology Information Systems Radiology Natural Language Processing
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General-Purpose Large Language Models Versus a Domain-Specific Natural Language Processing Tool for Label Extraction From Chest Radiograph Reports.

AJR. American journal of roentgenology Jan 17, 2024
Radiography, Thoracic Natural Language Processing Radiology Information Systems Humans
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Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports.

European radiology Nov 8, 2023
OBJECTIVE: Radiology reporting is an essential component of clinical diagnosis and decision-making. With the advent of advanced artificial intelligence (AI) models like GPT-4 (Generative Pre-trained Transformer 4), there is growing interest in evalua...
Radiology Humans Artificial Intelligence Radiology Information Systems
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DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications.

Journal of digital imaging Nov 2, 2021
In the era of data-driven medicine, rapid access and accurate interpretation of medical images are becoming increasingly important. The DICOM Image ANalysis and Archive (DIANA) system is an open-source, lightweight, and scalable Python interface that...
Humans Image Processing, Computer-Assisted Prospective Studies Artificial Intelligence Radiology Information Systems Retrospective Studies
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A deep look into radiomics.

La Radiologia medica Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Radiology Information Systems Database Management Systems Genomics Diagnostic Imaging Deep Learning Algorithms Consensus Image Interpretation, Computer-Assisted Workflow Precision Medicine Prognosis Machine Learning Humans Medical Oncology Data Mining Neoplasms Neural Networks, Computer Data Analysis Neuroimaging
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