AIMC Topic: Europe

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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...
Humans Europe RNA, Long Noncoding Hospital Mortality Canada Aged, 80 and over Adult Middle Aged Female Cohort Studies SARS-CoV-2 Male Machine Learning Aged COVID-19
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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...
Humans Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Workflow Europe Radiography, Thoracic
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[Data-driven intensive care: a lack of comprehensive datasets].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
Datasets as Topic Germany Computer Security Europe Confidentiality Critical Care Intensive Care Units Machine Learning Big Data Databases, Factual Humans
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Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations.

Japanese journal of radiology Apr 22, 2024
Specialty Boards Europe Radiology Humans Artificial Intelligence
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VespAI: a deep learning-based system for the detection of invasive hornets.

Communications biology Apr 3, 2024
The invasive hornet Vespa velutina nigrithorax is a rapidly proliferating threat to pollinators in Europe and East Asia. To effectively limit its spread, colonies must be detected and destroyed early in the invasion curve, however the current relianc...
Animals Deep Learning Wasps Asia, Eastern Europe Introduced Species
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The ERUS course on robot-assisted kidney transplantation.

World journal of urology Mar 30, 2024
PURPOSE: Robot-assisted kidney transplantation (RAKT) is being increasingly performed at selected referral institutions worldwide. Yet, surgical training in RAKT is still unstructured and not grounded into formal credentialing courses including simul...
Animals Swine Humans Urology Robotics Kidney Transplantation Europe Robotic Surgical Procedures
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Advancing mortality rate prediction in European population clusters: integrating deep learning and multiscale analysis.

Scientific reports Mar 15, 2024
Accurately predicting population mortality rates is crucial for effective retirement insurance and economic policy formulation. Recent advancements in deep learning time series forecasting (DLTSF) have led to improved mortality rate predictions compa...
Europe Electric Power Supplies Databases, Factual Humans Deep Learning Cluster Analysis
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[Robot-assisted kidney transplantation-what is new?].

Urologie (Heidelberg, Germany) Feb 20, 2024
BACKGROUND: The first robot-assisted kidney transplantation (RAKT) was conducted in 2010, and the first time in Germany in 2016. As more than 5 years have passed, current evidence, technological developments and the latest (German) experience are pre...
Germany Robotics Robotic Surgical Procedures Kidney Transplantation Humans Child Europe
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Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.

Journal of the American College of Radiology : JACR Jan 23, 2024
Artificial intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
Australia Canada New Zealand Europe Radiology Societies, Medical Humans United States Artificial Intelligence
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Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA.

Journal of medical imaging and radiation oncology Jan 23, 2024
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
Canada Europe Radiology Humans Artificial Intelligence Societies, Medical
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