Publications by authors named "G T Toth"

Objectives: To examine factors impacting diagnostic evaluation of suspected deep vein thrombosis (DVT) by analyzing the test ordering patterns and provider decision-making within a universal health coverage system in Hungary.

Methods: We analyzed test orders for suspected DVT between 2007 and 2020, and the financial framework influencing diagnostic practices. An anonymous survey was also conducted among Emergency Department physicians to explore factors influencing diagnostic decision-making.

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Introduction: The integration of AI into healthcare is widely anticipated to revolutionize medical diagnostics, enabling earlier, more accurate disease detection and personalized care.

Methods: In this study, we developed and validated an AI-assisted diagnostic support tool using only routinely ordered and broadly available blood tests to predict the presence of major chronic and acute diseases as well as rare disorders.

Results: Our model was tested on both retrospective and prospective datasets comprising over one million patients.

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Article Synopsis
  • The study examines gender differences in the relationship between angiographic findings and fractional flow reserve (FFR) in patients with coronary stenosis.
  • Median FFR values were found to be higher in female patients than in male patients, and a 50% diameter stenosis (DS) is identified as the best threshold for detecting ischemic FFR in both genders.
  • While a higher DS threshold (≥ 59%) improves lesion classification in females, it also results in a higher rate of false negatives.
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Social networks may help individuals maintain their mental health. Most empirical work based on small-scale surveys finds that cohesive social networks are critical for mental well-being, while diverse networks are considered less important. Here, we link data on antidepressant use of 277,344 small-town residents to a nationwide online social network.

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Background: Numerous PSMA-based tracers are used for diagnostic prostate cancer imaging, but comprehensive comparisons between multiple ligands are lacking. This study aimed to compare physiological skeletal uptake and tracer uptake in commonly recommended PSMA reference regions across three different PSMA ligands in prostate cancer patients.

Methods: A total of 281 prostate cancer patients were included.

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