Online Masterclass Course: Market Authorisation Of AI-Enabled Medical Devices (Nov 18Th-19Th, 2025)
Dublin, Sept. 24, 2025 (GLOBE NEWSWIRE) -- The "Masterclass: Market Authorisation of AI-enabled Medical Devices Training Course (Nov 18th-19th, 2025)" has been added to ResearchAndMarkets's offering.
Join this course to gain a solid understanding of the legislative landscape, enabling you to shape your use cases and secure a prosperous future for your AI initiatives.
It is challenging to keep up with the rapidly changing regulations applicable to AI-based medical devices. Many AI providers face regulatory, implementation, and investment uncertainties, particularly for advanced use cases like dynamic task specification, grounded reporting, and patient chatbots.
This course will also delve into the intricate world of the European AI Act and its impact on the medical device domain. They will gain insight into the geopolitical forces and better understand their relation with and impact on other AI legislations worldwide.
The AI Act qualifies many AI systems for medical devices as 'high-risk AI systems', mandating stringent criteria related to human oversight, safety, fundamental rights, robustness, and accessibility before entering the Union market. The course leader will demystify the European AI Act, shedding light on its complex interplay with existing medical device regulations. Participants will gain insights empowering them to implement the Act, secure their portfolios, and gain a significant competitive edge in the evolving landscape of AI-based medical devices.
By the end of this course, participants will emerge: enlightened about the profound impact of the European AI Act on the medical device industry, including its areas of consensus and ongoing debates, and be equipped with practical insights to navigate the regulatory landscape.
Benefits of attending:
- Get up to speed with current regulations and standards on AI-based medical devices and data Learn best practices for the development and regulatory submissions of AI-based medical devices Understand the interplay between medical devices and AI legislation Consider the impact on medical device use cases Learn how to convey in plain language how your company can comply with and safeguard its product roadmaps Identify the avenues available to mitigate the regulatory and investment uncertainties
Who Should Attend?
- Business strategists Product and service managers Project managers System analysts Regulatory Affairs Managers Compliance officers Legal professionals Software Engineers and Architects Data Governance Specialists Data Scientists Biomedical engineers Clinical research associates Clinical informatics managers of hospitals Safety Engineers AI Ethicists
Key Topics Covered:
Regulatory requirements for AI-enabled medical devices
- Overview legislation and guidance specific to AI-based medical devices
- Regulatory initiatives (AU, CA, CN, EU, IMDRF, UK, US.) Notified body initiatives Future perspectives
- Describing your application Clinical considerations Data governance considerations Post-market considerations Common pitfalls
EU artificial intelligence act
- Introduction to the proposed European AI Act Timeline Scope
EU artificial intelligence act provider obligations
- Joint Conformity Assessment Standards Risk Management Fundamental Rights Data Governance Logging Transparency Human Oversight Accuracy and Robustness Cybersecurity Usability and Accessibility Environmental Sustainability Document Retention
EU artificial intelligence act
- Deployer obligations Notified body obligations Authorized representative obligations AIA governance AIA Timelines - detailed
- AIA implementing measures & standards AIA review AIA vs MDR/IVDR transition
Adaptive AI-enabled medical devices
- Role of machine-learning enabled medical devices (MLMD) in healthcare Learning during clinical use Change considerations Predetermined change control plan Significant changes to adaptive AI-based medical devices
General purpose artificial intelligence
- Compliant conversations: Large language models for medical devices Generalist medical AI systems GPAI model provider obligations following the EU AI Act GPAI models throughout the value chain Creating trust Finding answers to your challenges
- Regulatory sandboxes EU Testing and experimentation facilities
Standardisation landscape
- Overview of standards for AI-based medical devices Overview of horizontal standards with their impact on medical devices Overview of standards in support of the AI Act Trustworthiness framework Interplay between horizontal and vertical standardization landscape
Geopolitical considerations of AI landscape
For more information about this training visit
About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
CONTACT: CONTACT: Laura Wood,Senior Press Manager ... For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
Legal Disclaimer:
MENAFN provides the
information “as is” without warranty of any kind. We do not accept
any responsibility or liability for the accuracy, content, images,
videos, licenses, completeness, legality, or reliability of the information
contained in this article. If you have any complaints or copyright
issues related to this article, kindly contact the provider above.
Most popular stories
Market Research

- New Cryptocurrency Mutuum Finance (MUTM) Raises $15.8M As Phase 6 Reaches 40%
- Bydfi Joins Korea Blockchain Week 2025 (KBW2025): Deepening Web3 Engagement
- Yield Basis Nears Mainnet Launch As Curve DAO Votes On Crvusd Proposal
- 0G Labs Launches Aristotle Mainnet With Largest Day-One Ecosystem For Decentralized AI
- Ethereum-Based Defi Crypto Mutuum Finance (MUTM) Raises Over $16 Million With More Than 720M Tokens Sold
- Fintech's Gender Gap In Focus: Drofa Comms' Women Leading The Way Joins Evolvh3r's She Connects At TOKEN2049
Comments
No comment