Some manufacturers are now embedding CER processes within broader regulatory operating systems, integrating authoring, surveillance, and quality management to enable real-time adaptability. Artificial Intelligence (AI) , in particular, is playing an increasingly critical role in helping manufacturers meet expanding regulatory expectations.
A new EU Commission study on the Deployment of AI in Healthcare makes one thing crystal clear: AI isn’t just a buzzword, it could be the lifeline our systems desperately need.
The rise of AI-powered health apps that claim to diagnose conditions in real time is transforming how we approach healthcare. From symptom checkers to wearable ECG monitors and AI stethoscope apps, these tools promise early diagnoses and personalized healthcare at our fingertips. What if they go wrong?
Episodic fatigue isn’t just about long agendas or IT timelines—it’s about spending decades refining a system built for care events, while health outcomes demand a system built for people’s lives.
China recently opened their first-ever AI Hospital with public pilot launches in May 2025.
The MedTech industry has seen significant growth and raised expectations as it adapts to evolving healthcare needs in the wake of the COVID-19 pandemic. The industry’s ability to make technology a part of everyday life will be key to driving growth and evolving with the demands of a disparate patient population.
Increasing patient demand, barriers to access, and elevated costs are pushing healthcare providers to reconsider traditional clinical and operational workflows to meet growing challenges and improve patient outcomes. Artificial intelligence (AI), robotics, and digital therapeutic solutions are streamlining processes and expanding the possibilities for reimagining care delivery. As these technologies converge, the shift from complex high-cost interventions toward lighter more adaptive care models creates opportunity to better meet the needs of diverse patient populations.
How does combining AI with Lean Management significantly improve efficiency in MedTech engineering? AI, much like IDEs or CAD tools before it, is becoming an essential enabler in reducing friction throughout the product development lifecycle—from onboarding and requirements generation to coding and testing—ultimately enhancing both productivity and innovation. By identifying and targeting inefficiencies using Lean principles, MedTech engineering organizations can unlock AI’s full potential to accelerate development and deliver higher-quality healthcare technologies.
The FDA plans to expand generative AI capabilities—across all centers using a secure, unified platform.
MTI Viewpoint: I expect fundamental changes to our medical device ecosystem; not all companies will survive them. The ability to consistently use AI will also determine who will be among the survivors and even the winners. AI will not only be part of the devices but also an internal tool.
