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Open AccessAutomatic text classification of prostate cancer malignancy scores in radiology reports using NLP models
This paper presents the implementation of two automated text classification systems for prostate cancer findings based on the PI-RADS criteria. Specifically, a traditional machine learning model using XGBoost ...
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Article
Standardized reporting systems for (which?) brain tumors from in the dark: cons of the BT-RADS
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Article
An update on susceptibility‐weighted imaging in brain gliomas
Susceptibility-weighted imaging (SWI) has become a standard component of most brain MRI protocols. While traditionally used for detecting and characterising brain hemorrhages typically associated with stroke o...
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Article
Automatic generation of conclusions from neuroradiology MRI reports through natural language processing
The conclusion section of a radiology report is crucial for summarizing the primary radiological findings in natural language and essential for communicating results to clinicians. However, creating these summ...
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Article
Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?
The differential between high-grade glioma (HGG) and metastasis remains challenging in common radiological practice. We compare different natural language processing (NLP)–based deep learning models to assist ...
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Article
Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application
Radiomics allows the extraction of quantitative imaging features from clinical magnetic resonance imaging (MRI) and computerized tomography (CT) studies. The advantages of radiomics have primarily been exploit...
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Radiology, explicability and AI: closing the gap
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Article
Reply to the letter to the editor: “A critical evaluation on the use of large language model for radiology research”
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Article
Radiology in the era of large language models: the near and the dark side of the moon
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Reply to the Letter to the Editor: “Radiology in the era of large language models: additional facts to consider in the near and the dark side of the moon”
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Article
How to do and evaluate DWI and DCE-MRI sequences for diabetic foot assessment
MRI evaluation of the diabetic foot is still a challenge not only from an interpretative but also from a technical point of view. The incorporation of advanced sequences such as diffusion-weighted imaging (DWI...
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Article
Concepts for exploring research avenues in radiology: opportunities and inspiration
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Article
Clinical applications of skeletal muscle diffusion tensor imaging
Diffusion tensor imaging (DTI) may allow the determination of new threshold values, based on water anisotropy, to differentiate between healthy muscle and various pathological processes. Additionally, it may q...
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Article
Open AccessAutomated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network
Alzheimer's disease (AD) poses an enormous challenge to modern healthcare. Since 2017, researchers have been using deep learning (DL) models for the early detection of AD using neuroimaging biomarkers. In this...
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Article
Past, present, and future in sports imaging: how to drive in a three-lane freeway
• Morphological evaluation of SRIs is still nowadays the clinical standard in daily practice.
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A handbook for beginners in skeletal muscle diffusion tensor imaging: physical basis and technical adjustments
Magnetic resonance imaging (MRI) of skeletal muscle is routinely performed using morphological sequences to acquire anatomical information. Recently, there is an increasing interest in applying advanced MRI te...
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Correction to: New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners
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New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners
To perform a review of the physical basis of DTI and DCE-MRI applied to Peripheral Nerves (PNs) evaluation with the aim of providing readers the main concepts and tools to acquire these types of sequences for ...
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Article
Telehealth for the Care of Complex Chronic Pediatric Patients in Latin America and the Caribbean: Narrative Review
This article is a review of the most significant productions on the care of pediatric patients with complex and/or rare chronic diseases in the field of telehealth, produced in Latin America and the Caribbean....
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Article
Arterial spin labeling for head and neck lesion assessment: technical adjustments and clinical applications
Despite, currently, “state-of-the-art” magnetic resonance imaging (MRI) protocols for head and neck (H&N) lesion assessment incorporate perfusion sequences, these acquisitions require the intravenous injection...
