Shawn Lyo
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View article: Deep learning MRI halves scan time and preserves image quality across routine neuroradiologic examinations
Deep learning MRI halves scan time and preserves image quality across routine neuroradiologic examinations Open
Background Magnetic resonance imaging (MRI) is a cornerstone of neuroimaging but is limited by lengthy acquisition times, which can lead to motion artifacts, patient discomfort, and delayed care. Deep learning reconstruction is an emerging…
View article: Integrating Large Language Models Into Radiology Education: An Interpretation-Centric Framework for Enhanced Learning While Supporting Workflow
Integrating Large Language Models Into Radiology Education: An Interpretation-Centric Framework for Enhanced Learning While Supporting Workflow Open
Radiology education is challenged by increasing clinical workloads, limiting trainee supervision time and hindering real-time feedback. Large language models (LLMs) can enhance radiology education by providing real-time guidance, feedback,…
View article: A Hitchhiker's Guide to Good Prompting Practices for Large Language Models in Radiology
A Hitchhiker's Guide to Good Prompting Practices for Large Language Models in Radiology Open
Large language models (LLMs) are reshaping radiology through their advanced capabilities in tasks such as medical report generation and clinical decision support. However, their effectiveness is heavily influenced by prompt engineering-the…
View article: An Atlas of Neonatal Neurovascular Imaging Anatomy as Depicted with Microvascular Imaging: The Intracranial Veins
An Atlas of Neonatal Neurovascular Imaging Anatomy as Depicted with Microvascular Imaging: The Intracranial Veins Open
Cerebral ultrasound is the preferred technique for evaluating the infant brain, offering real-time bedside assessment without exposure to ionizing radiation. Microvascular imaging (MVI) ultrasound, an advanced Doppler technique, enables th…
View article: From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models
From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models Open
View article: Rank and career level are inadequate measures of perceptual expertise in radiology
Rank and career level are inadequate measures of perceptual expertise in radiology Open
Radiology professionals and trainees are often classified into broad categories of expertise that are inferred from their title, level of training (i.e., intern, resident, attending, specialist), and/or years of experience—rather than by a…
View article: High-resolution neurosonographic examination of the lenticulostriate vessels in neonates with hypoxic-ischemic encephalopathy
High-resolution neurosonographic examination of the lenticulostriate vessels in neonates with hypoxic-ischemic encephalopathy Open
Objective To assess the feasibility of visualizing lenticulostriate vessels (LV) using a linear high-resolution ultrasound probe and characterize LV morphology to determine whether morphological alterations in LV are present in neonatal hy…
View article: RadRemind!—an Automated Paging System for Reminding Radiology Residents of Their Roles and Responsibilities
RadRemind!—an Automated Paging System for Reminding Radiology Residents of Their Roles and Responsibilities Open
View article: Case report: adult-onset manifesting heterozygous glycogen storage disease type IV with dilated cardiomyopathy and absent late gadolinium enhancement on cardiac magnetic resonance imaging
Case report: adult-onset manifesting heterozygous glycogen storage disease type IV with dilated cardiomyopathy and absent late gadolinium enhancement on cardiac magnetic resonance imaging Open
Background Glycogen storage disease type IV (GSD IV; Andersen’s disease) is a rare autosomal recessive disease caused by mutation in the GBE1 gene. Presentation of GSD IV varies on a continuum of severity and symptomatology ranging from ne…