AIMC Topic: Europe

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Designing human-AI systems for complex settings: ideas from distributed, joint, and self-organising perspectives of sociotechnical systems and cognitive work analysis.

Ergonomics Jan 2, 2024
Real-world events like the COVID-19 pandemic and wildfires in Australia, Europe, and America remind us that the demands of complex operational settings are met by multiple, distributed teams interwoven with a large array of artefacts and networked te...
Artificial Intelligence Pandemics Humans Automation Cognition Europe
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Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

The Annals of thoracic surgery Dec 6, 2023
BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures. We exten...
Risk Assessment Hospital Mortality Female Male Cardiac Surgical Procedures Heart Defects, Congenital Europe Benchmarking Humans Machine Learning Databases, Factual Retrospective Studies
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Transformer-based tool recommendation system in Galaxy.

BMC bioinformatics Nov 27, 2023
BACKGROUND: Galaxy is a web-based open-source platform for scientific analyses. Researchers use thousands of high-quality tools and workflows for their respective analyses in Galaxy. Tool recommender system predicts a collection of tools that can be ...
Neural Networks, Computer Europe Software Workflow Data Analysis
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The Council of Europe's AI Convention (2023-2024): Promises and pitfalls for health protection.

Health policy (Amsterdam, Netherlands) Oct 30, 2023
The Council of Europe, Europe's most important human rights organization, is developing a legally binding instrument for the development, design, and application of AI systems. This "Convention on Artificial Intelligence, Human Rights, Democracy and ...
International Cooperation Human Rights Humans Artificial Intelligence Europe
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Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms.

Scientific data Oct 19, 2023
Named entity recognition (NER) is a widely used text-mining and natural language processing (NLP) subtask. In recent years, deep learning methods have superseded traditional dictionary- and rule-based NER approaches. A high-quality dataset is essenti...
Data Mining Europe Natural Language Processing Humans Machine Learning Databases, Factual
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A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

International journal of molecular sciences Oct 11, 2023
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adj...
Genetics, Population Machine Learning Support Vector Machine Europe DNA Humans
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Feeding Next-Generation Nanomedicines to Europe: Regulatory and Quality Challenges.

Advanced healthcare materials Sep 17, 2023
New and innovative nanomedicines have been developed and marketed over the past half-century, revolutionizing the prognosis of many human diseases. Although a univocal regulatory definition is not yet available worldwide, the term "nanomedicines" gen...
Artificial Intelligence Europe Humans Nanotechnology Nanomedicine
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A Case for Synthetic Data in Regulatory Decision-Making in Europe.

Clinical pharmacology and therapeutics Aug 24, 2023
Regulators are faced with many challenges surrounding health data usage, including privacy, fragmentation, validity, and generalizability, especially in the European Union, for which synthetic data may provide innovative solutions. Synthetic data, de...
European Union Europe Technology Assessment, Biomedical Humans Artificial Intelligence
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An investigation into the risk of population bias in deep learning autocontouring.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 16, 2023
BACKGROUND AND PURPOSE: To date, data used in the development of Deep Learning-based automatic contouring (DLC) algorithms have been largely sourced from single geographic populations. This study aimed to evaluate the risk of population-based bias by...
Europe Humans Organs at Risk Algorithms Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Observer Variation Deep Learning
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AI and machine learning ethics, law, diversity, and global impact.

The British journal of radiology May 23, 2023
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise for personalized biomedicine and more cost-effective healthcare with impressive technical capability to mimic human cognitive capabilities. However, widesp...
Machine Learning Medicine Humans Algorithms Europe Artificial Intelligence
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