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Welcome to AI-Mind Share
A space designed to share valuable insights from the AI-Mind project and our research. Here, you will find a wide range of resources on topics like dementia research, MCI diagnosis, AI in healthcare, ethical AI use, data privacy, and more. These materials, including project reports, publications, articles, videos are tailored for clinicians, researchers, healthcare professionals, patient organisations, and other stakeholders, offering practical tools and information. It is all about advancing responsible research and innovation together.
What? Collection of AI-Mind resources on MCI, dementia, risk factors, diagnosis, the use of AI in clinical practice and innovative tools like digital cognitive testing and genetic biomarkers for improved decision-making in the diagnosis and management of neurodegenerative conditions.
For who? Designed primarily for clinicians, healthcare professionals, researchers, patient organisations, and others.
What? Collection of AI-Mind resources focusing on the ethical implications of using AI in healthcare. It includes European regulations, human rights, technical uncertainties, and societal implications of AI-based tools.
For who? Clinicians, patient organisations and patients, carers, politicians, healthcare managers, and informal patient representatives.
What? AI-Mind resources that offer guidance on managing data privacy and security for AI-Mind tools, including compliance with European regulations and the use of secure platforms to ensure proper handling of sensitive patient data in clinical environments.
For who? Clinicians, healthcare managers and professionals, data protection officers and legal professionals, data scientists, patient organisations and patients.
What? This area focuses on the engineering principles behind the AI-Mind tools, including AI algorithms, machine learning, deep learning, and platform architecture. Resources aim to provide an understanding of the technical components and limitations of AI in medical diagnostics.
For who? Designed for clinicians, researchers, engineers, IT directors, other interested healthcare professionals, and patient organisations.
What? Resources here focus on Health Technology Assessment (HTA) methods that assess the potential value and cost-effectiveness of AI-based tools. It aims to help stakeholders make informed decisions regarding the integration of AI technologies into clinical practice, considering long-term impacts.
For who? Healthcare managers, policymakers, politicians, clinicians, and other stakeholders.
What? A diverse collection of resources that touch upon different topics and provide complementary information to other knowledge toolboxes developed within the AI-Mind project.
For who? Researchers, healthcare professionals, students, and patient organisations seeking a deeper understanding of dementia research.
Legal notice
The content presented on this website reflects the views of the authors only. The European Union is not liable for any use that may be made of the information contained therein.
© The documents and materials listed on this website may not be copied, reproduced, or modified, in whole or in part, for any purpose without prior written permission from the AI-Mind Consortium.