AIMC Topic: European Union

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[Regulatory classification of AI-enabled products for medical use on the basis of the EU AI Act and MDR/IVDR].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The use of artificial intelligence (AI) in healthcare offers great potential but also presents regulatory challenges. The EU Artificial Intelligence Act (AIA), the Medical Device Regulation (MDR), and the Regulation on in vitro diagnostic medical dev...

The case for homebrew AI in diagnostic pathology.

The Journal of pathology
Artificial intelligence (AI) methods for digital pathology have tremendous potential to improve cancer diagnostics, biomarkers, and ultimately patient care. These AI methods, if marketed and sold, require authorisation or clearance as in vitro diagno...

Reevaluating feature importance in machine learning: concerns regarding SHAP interpretations in the context of the EU artificial intelligence act.

Water research
This paper critically examines the analysis conducted by Maußner et al. on AI analysis, particularly their interpretation of feature importances derived from various machine learning models using SHAP (SHapley Additive exPlanations). Although SHAP ai...

Estimating the causal impact of non-pharmaceutical interventions on COVID-19 spread in seven EU countries via machine learning.

Scientific reports
During the COVID-19 pandemic, Non-Pharmaceutical Interventions (NPIs) were imposed all over Europe with the intent to reduce infection spread. However, reports on the effectiveness of those measures across different European countries are inconclusiv...

Quantitative trend analysis of well-established use mutual recognition and decentralised products indicates codified disharmonisation in the European Economic Area.

Health policy (Amsterdam, Netherlands)
The growing number of well-established use (WEU) applications was reported by the Coordination Group for Mutual Recognition and Decentralised Procedures - Human (CMDh). The procedures from the CMDh annual statistics and products from the Mutual Recog...

The EU project Real4Reg: unlocking real-world data with AI.

Health research policy and systems
BACKGROUND: The use of real-world data is established in post-authorization regulatory processes such as pharmacovigilance of drugs and medical devices, but is still frequently challenged in the pre-authorization phase of medicinal products. In addit...

Regulatory approaches towards AI Medical Devices: A comparative study of the United States, the European Union and China.

Health policy (Amsterdam, Netherlands)
The swift progression of AI within the realm of medical devices has precipitated an imperative for stringent regulatory oversight. The United States, the European Union, and China stand as vanguard entities in the regulatory landscape for AI-enhanced...

Do circular innovations and carrying capacity of natural environment enhance circular economy in the European Union? Evidence from simulation and machine learning methods.

Journal of environmental management
The longevity of the natural environment is fundamental for sustainable production and consumption. The circular economy conserves natural resources, ensures sustainable production and consumption, and protects the natural environment. The role of ci...

Generative artificial intelligence (GenAI) and decision-making: Legal & ethical hurdles for implementation in mental health.

International journal of law and psychiatry
This article argues that significant risks are being taken with using GenAI in mental health that should be assessed urgently. It recommends that guidelines for using generative artificial intelligence (GenAI) in mental health care must be establishe...

The legal regulation of artificial intelligence in the European Union: A practical guide for radiologists.

Radiologia
The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI Act. The purpose of this article is to describe this regulation and examine three implications that w...