AIMC Topic: European Union
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The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups.
Nutrition bulletin
May 21, 2024
A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to pr...
Robotic monitoring of dunes: a dataset from the EU habitats 2110 and 2120 in Sardinia (Italy).
Scientific data
Feb 24, 2024
This data descriptor presents a novel dataset collected using the quadrupedal robot ANYmal C in the Mediterranean coastal dune environment of the European Union (EU) habitats 2110 and 2120 in Sardinia, Italy. The dataset mainly consists of photos, vi...
Translating the regulatory landscape of medical devices to create fit-for-purpose artificial intelligence (AI) cytometry solutions.
Cytometry. Part B, Clinical cytometry
Feb 23, 2024
The implementation of medical software and artificial intelligence (AI) algorithms into routine clinical cytometry diagnostic practice requires a thorough understanding of regulatory requirements and challenges throughout the cytometry software produ...
A Natural Language Processing Approach Towards Harmonized Communication of Uncertainties Identified During the European Medicine Authorization Process.
Clinical pharmacology and therapeutics
Feb 12, 2024
Within the European Union, the European Medicines Agency's (EMA's) European Public Assessment Report (EPAR) is an important source of information for healthcare professionals and patients that allows them to understand important risks and uncertainti...
The Proposal for a Directive on Defective Products: A Game Changer for Innovative Medicinal Products.
European journal of health law
Jan 10, 2024
At the end of 2022, the European Commission published a proposal for a directive to revise the strict liability regime introduced in 1985. Although the main goal of this new proposal is to adapt the regulations to information technologies such as art...
Artificial intelligence in medicine: A comprehensive survey of medical doctor's perspectives in Portugal.
PloS one
Sep 7, 2023
Artificial Intelligence (AI) is increasingly influential across various sectors, including healthcare, with the potential to revolutionize clinical practice. However, risks associated with AI adoption in medicine have also been identified. Despite th...
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...
Artificial intelligence in medical device software and high-risk medical devices - a review of definitions, expert recommendations and regulatory initiatives.
Expert review of medical devices
May 8, 2023
INTRODUCTION: Artificial intelligence (AI) encompasses a wide range of algorithms with risks when used to support decisions about diagnosis or treatment, so professional and regulatory bodies are recommending how they should be managed.
Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies.
Journal of medical Internet research
Apr 14, 2023
Artificial intelligence (AI) and machine learning medical tools have the potential to be transformative in care delivery; however, this change will only be realized if accompanied by effective governance that ensures patient safety and public trust. ...
Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.
Ecotoxicology and environmental safety
Mar 20, 2023
Cancer, the second largest human disease, has become a major public health problem. The prediction of chemicals' carcinogenicity before their synthesis is crucial. In this paper, seven machine learning algorithms (i.e., Random Forest (RF), Logistic R...
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