AIMC Topic: Europe
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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...
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
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...
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...
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...
[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...
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 ...
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 ...
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Jan 22, 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 ...
A machine learning approach to assess Sustainable Development Goals food performances: The Italian case.
PloS one
Jan 2, 2024
In this study, we introduce an innovative application of clustering algorithms to assess and appraise Italy's alignment with respect to the Sustainable Development Goals (SDGs), focusing on those related to climate change and the agrifood market. Spe...
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