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Understanding patient needs and gaps in radiology reports through online discussion forum analysis
Our objective is to investigate patient needs and understand information gaps in radiology reports using patient questions that were posted on online...
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Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports
Recommendations are a key component of radiology reports. Automatic extraction of recommendations would facilitate tasks such as recommendation...
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Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing
Structured reporting may improve the radiological workflow and communication among physicians. Artificial intelligence applications in medicine are...
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Management of radiology services during the 2022 FIFA football (soccer) World Cup
Diagnostic imaging is the predominant medical service sought for the assessment and staging of musculoskeletal injuries in professional sports...
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CSAMDT: Conditional Self Attention Memory-Driven Transformers for Radiology Report Generation from Chest X-Ray
A radiology report plays a crucial role in guiding patient treatment, but writing these reports is a time-consuming task that demands a radiologist’s...
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Design of overnight radiology shifts – primum non nocere
Overnight radiology (ONR) is necessary for providing timely patient care but poses unique professional and personal challenges to the radiologists....
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Current status of pediatric radiology in India: a perspective
This review is a bird’s eye view of the practice of pediatric radiology in India. The key focus of this article is training, certification and...
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Clinician and Patient Preference of Multimedia-Enhanced Radiology Reporting for Primary Tumour Staging: an Exploratory Study
This study aimed to investigate clinician and patient preference of multimedia-enhanced radiology reports (MERRs, referred to as “multimedia” reports...
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Patient-centered radiology: a roadmap for outpatient imaging
AbstractCreating a patient-centered experience is becoming increasingly important for radiology departments around the world. The goal of...
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Automatic generation of conclusions from neuroradiology MRI reports through natural language processing
PurposeThe conclusion section of a radiology report is crucial for summarizing the primary radiological findings in natural language and essential...
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Radiology resident competency in detecting basilar artery occlusion: a simulation-based assessment
PurposeBasilar artery strokes are rare but can have characteristic imaging findings that can often be overlooked. This retrospective study aims to...
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Streamlining Radiology Workflows Through the Development and Deployment of Automated Microservices
Microservices are a software development approach where an application is structured as a collection of loosely coupled, independently deployable...
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Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case
PurposeTo investigate the epidemiology and distribution of disease characteristics of urolithiasis by data mining structured radiology reports.
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Burnout among radiology residents: a systematic review and meta-analysis
ObjectiveTo analyze the prevalence of burnout among radiology residents.
MethodFive databases (PubMed, Web of Science, Embase, PsycINFO, and Scopus)...
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Resident education in radiology in Europe including entrustable professional activities: results of an ESR survey
Entrustable professional activity (EPA) is a tool for comprehensively evaluating the level of confidence in resident performances across various...
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Personalized Impression Generation for PET Reports Using Large Language Models
Large language models (LLMs) have shown promise in accelerating radiology reporting by summarizing clinical findings into impressions. However,...
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ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology
ObjectivesTo compare the diagnostic accuracy of Generative Pre-trained Transformer (GPT)-4-based ChatGPT, GPT-4 with vision (GPT-4V) based ChatGPT,...
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Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in Japanese
PurposeTo propose a five-point scale for radiology report importance called Report Importance Category (RIC) and to compare the performance of...
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The unintended consequences of artificial intelligence in paediatric radiology
Over the past decade, there has been a dramatic rise in the interest relating to the application of artificial intelligence (AI) in radiology....