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Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information...
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Multicenter survey clarifying phrases in emergency radiology reports
PurposeInteractions between radiologists and emergency physicians are often diminished as imaging volume increases and more radiologists read off...
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Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke
BackgroundAbstraction of critical data from unstructured radiologic reports using natural language processing (NLP) is a powerful tool to automate...
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Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble
BackgroundStandardized coding of plays an important role in radiology reports’ secondary use such as data analytics, data-driven decision support,...
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Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)
BackgroundGiven the increasing number of people suffering from tinnitus, the accurate categorization of patients with actionable reports is...
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Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing
ObjectivesTo develop and validate classifiers for automatic detection of actionable findings and documentation of nonroutine communication in...
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Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers
BackgroundIt is essential for radiologists to communicate actionable findings to the referring clinicians reliably. Natural language processing (NLP)...
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Evaluation of neuroradiology emergency MRI interpretations: low discrepancy rates between on-call radiology residents’ preliminary interpretations and neuroradiologists’ final reports
ObjectivesTo evaluate the performance of on-call radiology residents in interpreting alone brain and spine MRI studies performed after hours, to...
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AI tools in Emergency Radiology reading room: a new era of Radiology
Artificial intelligence tools in radiology practices have surged, with modules developed to target specific findings becoming increasingly prevalent...
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The reporting quality of natural language processing studies: systematic review of studies of radiology reports
BackgroundAutomated language analysis of radiology reports using natural language processing (NLP) can provide valuable information on patients’...
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Develo** a triage predictive model for access to a spinal surgeon using clinical variables and natural language processing of radiology reports
PurposeTo utilize natural language processing (NLP) of MRI reports and various clinical variables to develop a preliminary model predictive of the...
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Cardiac radiology in Europe: status and vision by the European Society of Cardiovascular Radiology (ESCR) and the European Society of Radiology (ESR)
AbstractCardiac computed tomography (CT) and cardiac magnetic resonance imaging (MRI) are routine radiological examinations for diagnosis and...
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ESR paper on structured reporting in radiology—update 2023
Structured reporting in radiology continues to hold substantial potential to improve the quality of service provided to patients and referring...
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Information extraction from weakly structured radiological reports with natural language queries
ObjectivesProvide physicians and researchers an efficient way to extract information from weakly structured radiology reports with natural language...
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Transitioning from interventional radiology: ideas for the inevitable
BackgroundInterventional Radiology (IR) is a highly rewarding specialty, both for its salutary effects for patients, as will as the satisfaction it...
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A systematic review of natural language processing applied to radiology reports
BackgroundNatural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured...
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Radiology in conflict: sco** review
The United Nations estimate a quarter of the global population currently lives in violent conflict zones. Radiology is an integral part of any...