AIMC Topic: Europe
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Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants.
Scientific reports
Aug 19, 2024
Predicting epidemic evolution is essential for making informed decisions and guiding the implementation of necessary countermeasures. Computational models are vital tools that provide insights into illness progression and enable early detection, proa...
Green finance growth prediction model based on time-series conditional generative adversarial networks.
PloS one
Jul 24, 2024
Climate change mitigation necessitates increased investment in green sectors. This study proposes a methodology to predict green finance growth across various countries, aiming to encourage such investments. Our approach leverages time-series Conditi...
[Relationship between certain uses of artificial intelligence and psychosocial risk factors in European work environments].
Archivos de prevencion de riesgos laborales
Jul 15, 2024
INTRODUCTION: To examine the relationship between the use of Artificial Intelligence (AI) to assess and monitor job performance and exposure to psychosocial risk factors, as well as associated adverse health effects in the European work environment.
Response to Letter to the Editor from Partha Pratim Ray: 'Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations'.
Japanese journal of radiology
Jul 13, 2024
Quality of science journalism in the age of Artificial Intelligence explored with a mixed methodology.
PloS one
Jun 18, 2024
Science journalists, traditionally, play a key role in delivering science information to a wider audience. However, changes in the media ecosystem and the science-media relationship are posing challenges to reliable news production. Additionally, rec...
Application of artificial neural networks to classify Avena fatua and Avena sterilis based on seed traits: insights from European Avena populations primarily from the Balkan Region.
BMC plant biology
Jun 12, 2024
BACKGROUND: Avena fatua and A. sterilis are challenging to distinguish due to their strong similarities. However, Artificial Neural Networks (ANN) can effectively extract patterns and identify these species. We measured seed traits of Avena species f...
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance.
The French journal of urology
Jun 5, 2024
OBJECTIVES: Artificial intelligence (AI) applications are increasingly being utilized by both patients and physicians for accessing medical information. This study focused on the urolithiasis section (pertaining to kidney and ureteral stones) of the ...
Applying machine learning to international drug monitoring: classifying cannabis resin collected in Europe using cannabinoid concentrations.
European archives of psychiatry and clinical neuroscience
May 21, 2024
In Europe, concentrations of ∆-tetrahydrocannabinol (THC) in cannabis resin (also known as hash) have risen markedly in the past decade, potentially increasing risks of mental health disorders. Current approaches to international drug monitoring cann...
Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality.
Nature communications
May 20, 2024
Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-hospital m...
Impact of intelligent virtual and AI-based automated collimation functionalities on the efficiency of radiographic acquisitions.
Radiography (London, England : 1995)
May 18, 2024
INTRODUCTION: Intelligent virtual and AI-based collimation functionalities have the potential to enable an efficient workflow for radiographers, but the specific impact on clinical routines is still unknown. This study analyzes primarily the influenc...
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