Publications by authors named "Lisa Joy Juergens"

Article Synopsis
  • The study investigates the use of Large Language Models (LLMs), specifically ChatGPT, in medical education, focusing on their ability to enhance the learning experience for medical students.
  • Using 151 radiology exam questions, the performance of OpenAI's GPT-3.5 and GPT-4 was assessed, with GPT-4 showing significantly higher accuracy (88.1%) compared to GPT-3.5 (67.6%).
  • Results suggest that LLMs, especially GPT-4, could serve as effective study resources for medical students preparing for exams, although users should be cautious of potential inaccuracies in responses.
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Intussusception in adult patients is a rare medical finding, which is accompanied by an underlying tumor in some cases. However, no accepted method has been established to identify patients at risk for tumor-related intussusception. This study aimed to identify imaging features as predictors for tumor-related intussusception.

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Purpose: Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that incorporates dual-energy computed tomography (DECT) radiomics. The primary focus is on discerning and predicting outcomes related to pulmonary embolism (PE).

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Background: The advent of advanced computed tomography (CT) technology and the field of radiomics has opened up new avenues in diagnostic assessments. Increasingly, there is substantial evidence advocating for the incorporation of quantitative imaging biomarkers in the clinical decision-making process. This study aimed to examine the correlation between D-dimer levels and thrombus size in acute pulmonary embolism (PE) combining dual-energy CT (DECT) and radiomics and to investigate the diagnostic utility of a machine learning classifier based on dual-energy computed tomography (DECT) radiomics for identifying patients with a complicated course, defined as at least hospitalization at IMC.

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The mucolytic monoterpene 1,8-cineole (eucalyptol), the major constituent of eucalyptus species, is well known for its anti-inflammatory, antioxidant, bronchodilatory, antiviral and antimicrobial effects. The main protective antiviral, anti-inflammatory and mucolytic mechanisms of 1,8-cineole are the induction of interferon regulatory factor 3 (IRF3), the control of nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) along with decreasing mucin genes (MUC2, MUC19). In normal human monocytes direct inhibition was shown of reactive oxygen species (ROS)-mediated mucus hypersecretion and of steroid resistence inducing superoxides (O) and pro-inflammatory hydrogen peroxides (HO) with partial control of superoxide dismutase (SOD), which enzymatically metabolizes O into HO.

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