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    Curated comparison tables

    In-depth, attribute-by-attribute tables for the most common MedTech term pairs. Each row is sourced from the linked term pages.

    Regulatory

    AI Act Transparency Obligations

    In one line
    Article 50 requirements for specific AI systems, including disclosure that a user is interacting with AI and labelling of synthetic content.
    Definition
    Article 50 requires providers to design AI systems that interact with natural persons so that those persons are informed they are interacting with an AI, and that synthetic audio, image, video, or text output is marked as artificially generated or manipulated in a machine-readable format. Deployers of emotion-recognition or biometric-categorisation systems must inform exposed persons.
    Why it matters
    Digital therapeutics and clinical chat interfaces should surface an explicit AI disclosure and, where they generate synthetic content (for example patient education videos), meet the labelling requirement. This applies even when the device is not high-risk.
    Common pitfalls
    • •Failing to implement clear, user-facing disclosures that explicitly state interaction with an AI system is occurring. This can lead to user confusion and non-compliance, even if the AI is not deemed high-risk.
    • •Not adequately labeling synthetic content in a machine-readable and easily understandable format. Simply adding a small, obscure disclaimer may not meet the intent of informing users about artificially generated material.
    • •Assuming that transparency obligations only apply to high-risk AI systems. Many transparency requirements, like informing users of AI interaction and labeling synthetic content, apply more broadly regardless of risk classification.
    • •Overlooking the specific requirements for deployers of emotion-recognition or biometric-categorisation systems to inform exposed persons. This is a distinct obligation beyond general AI interaction disclosures.
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    Why compare MedTech terms side by side?

    MedTech terminology is full of pairs that look interchangeable but carry very different regulatory, clinical, and commercial consequences. Picking the wrong framework, pathway, or standard early in a project can add months to a submission, invalidate clinical evidence, or trigger an audit finding. Side-by-side comparison is the fastest way to surface those differences before they become costly mistakes.

    Each comparison on this page pulls from the same vendor-neutral, sourced definitions used throughout the MedTech Terms glossary. You see the one-line summary, the formal definition, why it matters in practice, common pitfalls, and the primary sources (FDA guidance, EU MDR/IVDR articles, ISO/IEC standards, MDCG documents, IMDRF principles) that back each entry. That makes the comparison defensible in regulatory strategy memos, design reviews, and submission narratives.

    Common comparison patterns

    How to use this tool

    Pick term A and term B from the dropdowns, or click a preset above. The URL updates with both slugs so you can bookmark or share the exact comparison with a colleague, a notified body reviewer, or your regulatory consultant. Click Open full page on either side for the complete entry, including FAQs, related terms, and the full citation list. If you are not sure which term to start with, browse the Categories view or the A-Z index.

    MedTech Terms is a vendor-neutral community resource sponsored by Blue Goat Cyber. Definitions are written for educational use and are not legal or regulatory advice.