Getting regulation right is just as important as getting the tech right
Artificial Intelligence is transforming healthcare at a pace few industries have seen. The global AI in healthcare market was valued at nearly $30 billion in 2024 and is projected to reach over $500 billion by 2032[1]. From faster radiology reads to real-time patient monitoring, the clinical case for AI-enabled medical technology has never been stronger, and the pressure to deliver has never been greater.
Clinician shortages, mounting backlogs and rising costs are pushing healthcare systems to their limits. AI and smart software offer real solutions: better decision support, automated workflows and personalised treatment insights that can meaningfully improve patient outcomes. It’s little wonder that medical device manufacturers, from university spinoffs developing a single diagnostic algorithm to established companies embedding AI into existing hardware, are moving fast to get their innovations to market.
The gap between innovation and compliance
The challenge facing digital medical device manufacturers today isn’t just technological, it’s structural. While the underlying AI and software capabilities have matured considerably, the regulatory frameworks governing their use in healthcare are still catching up. The EU AI Act only came into force in August 2024, and the EU Data Act followed in September 2025. New MHRA guidance in the UK continues to redefine what qualifies as a Software as a Medical Device (SaMD), and in the US the FDA has openly acknowledged that its traditional device regulation model wasn’t designed for adaptive AI.
The result is a compliance landscape that is genuinely complex, constantly evolving and carries serious consequences when misread. A poorly judged regulatory strategy can delay market entry by months or even years, inflate development costs significantly or even result in device withdrawal after launch. In addition to this, there are the technical considerations: data governance, cybersecurity vulnerabilities, AI model validation and the very specific skills required to manage all of it properly.
Beyond the code: what AI compliance actually demands
One of the most common and costly mistakes in this space is underestimating just how different SaMD development is from conventional software engineering. A machine learning model that performs well on initial data may not hold up under real-world clinical conditions. Updating an AI model with new field data, that is standard practice in most software environments, can trigger re-validation requirements in the medical sector that teams simply aren’t prepared for.
Developing an AI-enabled medical device demands a genuinely cross-disciplinary team: Machine Learning engineers, risk management specialists, User eXperience designers with compliance experience, cybersecurity experts and regulatory consultants who understand both the technology and the shifting international rulebooks.
Add to this the question of which market to enter first and the fact that the US, EU and UK each have different classification rules, timelines and evidence requirements, and the picture becomes clear: this isn’t a space where compliance can be an afterthought.
A practical guide for the road ahead
That’s why IMed Consultancy and Firefinch Software have joined forces to produce Smart Code, Safe Care: Navigating AI Acceleration in Regulated Medical Devices, a free white paper that brings together deep regulatory expertise and real-world SaMD software development experience to help manufacturers of all sizes get this right.
Whether you’re still working out whether your product even qualifies as a medical device, evaluating your team’s compliance skills, or trying to determine which geography offers the most viable route to market, this white paper offers a grounded, practical framework for thinking it through and moving forward with confidence.
Download the full white paper here and make sure to follow IMed Consultancy and Firefinch Software on LinkedIn so you don’t miss what’s coming next.
[1] https://www.fortunebusinessinsights.com/industry-reports/artificial-intelligence-in-healthcare-market-100534