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Regulation - EU - 2024/1689 - EN - EUR-Lex
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act)
 
Added 3 months ago
EUR-Lex - 02017R0745-20250110 - EN - EUR-Lex
https://eur-lex.europa.eu/eli/reg/2017/745/2025-01-10
 
Added 3 months ago
Broken
pubs.rsna.org
https://pubs.rsna.org/doi/10.1148/ryai.230055
 
Added 3 months ago
EU Report: Study on the deployment of AI in healthcare
https://op.europa.eu/en/publication-detail/-/publication/9ddf7bf8-62bf-11f0-bf4e-01aa75ed71a1/language-en
Present day healthcare systems face several complex challenges, including rising demand due to an aging population, increasing prevalence of chronic and complex conditions, rising costs, and shortages in the healthcare workforce. Artificial intelligence (AI) has the potential to address some of these by improving operational efficiency, reducing administrative burdens, and enhancing diagnosis and treatment pathways. Despite the promise and availability AI-based tools in the market, their deployment in clinical practice is slow. Using a mixed methods approach, entailing a literature review and consultation activities, the study identifies a range of challenges to AI deployment in healthcare, spanning technological and data-related issues, legal and regulatory complexities, organisational and business challenges, and social and cultural barriers. It also highlights successful strategies (accelerators) employed by hospitals globally to overcome these common obstacles, offering valuable inspiration in the broader European Union (EU) context. The EU is uniquely positioned to support the safe, effective, ethical and equitable scale-up of AI deployment in healthcare, balancing the need to nurture innovation with safeguarding the fundamental rights of patients. This report presents considerations for future action and proposes a monitoring and indicators framework that could enable progress to be tracked with the view of enabling the sustainable integration of AI into healthcare systems.
 
EU
Added 3 months ago
EU Report: AI-driven Innovation in Medical Imaging
https://ai-watch.ec.europa.eu/publications/ai-driven-innovation-medical-imaging_en
Artificial Intelligence and Deep Learning are increasingly being used to support the prevention, diagnosis, and follow-up of non-communicable diseases, helping to ease the burden on under-resourced healthcare systems.
 
EU
Added 3 months ago
Broken
Davide Cester
https://www.linkedin.com/in/davidecester/
 
Added 3 months ago
USZ MPER Research Group
https://www.usz.ch/fachbereich/diagnostische-interventionelle-radiologie/forschung/medical-physics-and-engineering-in-radiology-mper/
Medical Physics and Engineering in Radiology (MPER) The Medical Physics and Engineering in Radiology (MPER) group includes researchers from all imaging domains (MRI, Ultrasound, X-Rays/CT) and deals with interdisciplinary aspects of imaging research, including safety and regulatory compliance.
 
Added 3 months ago
NVidia - Building a brain in 10 minutes
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-FX-01+V1
 
NVidia
Added 3 months ago
NVidia - Generative AI explained
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1
 
NVidia
Added 3 months ago
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