AI in Healthcare: ethical and regulatory keys to compete in the new digital age
Ethics and regulation of artificial intelligence in the health sector are key and therefore we have organised a session aimed at companies that will address this issue from the global perspective of the CoMPaSS-NMD project.
The TECNALIA Health team invites you to a (hybrid) event that will address the ethical and regulatory challenges of artificial intelligence in healthcare, focusing specifically on the CoMPaSS-NMD project.
AI to classify patients with neuromuscular diseases
This European initiative is developing innovative AI-based methods to classify patients with hereditary neuromuscular diseases using integrated genetic, imaging and clinical data.
- The event will explore how to responsibly design and implement AI systems in health data spaces, ensuring compliance with data privacy and ethics standards.
- Leading experts in the field, including Dr. Iñigo de Miguel and Dr. Guillermo Lazcoz, will address key issues, such as data governance, patient rights and the role of AI in precision medicine. Their expertise will be particularly relevant for researchers and professionals working on health data platforms and the secondary use of data in clinical research.
- The discussion will be moderated by TECNALIA researchers, Dr. Michael Obach and Dr. Ainara Garzo, who will guide the audience through the latest developments and challenges in this area of development.
- Ainara is also a member of the Board of Directors of AIPO (Association for Human-Computer Interaction), a leading organisation in the field of interaction between people and technology.
Navigate the complex ethical and regulatory context of AI in healthcare
This is a unique opportunity to interact with international opinion leaders and colleagues in a dynamic and interactive environment. Whether you sign up on-line or in-person, you will gain valuable knowledge on how to navigate the complex ethical and regulatory context of AI in healthcare.
Don't miss this opportunity to contribute to developing the future of responsible AI in healthcare.
*Language: English