Andrew Davies
Executive Director Digital Health, ABHI
The fusion of artificial intelligence (AI) and healthcare is not just enhancing existing tools; it’s redefining what medical devices can do. No longer passive instruments, devices are evolving into intelligent aids capable of analysing, adapting and even anticipating clinician or patient needs.
From AI-powered diagnostics that spot diseases before symptoms arise to wearables that alert users to early warning signs, this transformation is accelerating. For the medical device industry, this signals a shift that is no longer just about hardware but also about data, algorithms and connectivity. Devices will be able to learn, analyse and respond in real time.
Smarter, faster diagnostics
AI is revolutionising diagnostics by enabling devices to analyse medical images with speed and accuracy. Algorithms can detect tumours, fractures and other abnormalities early. This helps clinicians make faster, more informed decisions. As these capabilities move into portable devices, diagnostics are becoming more accessible and efficient — especially in remote or underserved regions.
Personalised, adaptive devices
AI’s ability to interpret complex health data is driving personalised care. Medical devices like insulin pumps, cardiac monitors and neurostimulators are increasingly using AI to respond dynamically to patient conditions in real time. This shift supports better outcomes and reduces the need for constant human oversight.
In this new era, AI is not just
enhancing medical devices — it’s
redefining their role in care delivery.
Remote monitoring and predictive care
Wearable and home-use devices equipped with AI are reshaping chronic disease management. By continuously tracking vital signs and detecting anomalies, they enable earlier intervention and help prevent hospitalisations. The demand for connected, predictive technologies is driving innovation across the device landscape.
New standards and expectations
With these advancements come new regulatory and technical challenges. Agencies are developing frameworks for adaptive learning systems, supporting manufacturers to prioritise transparency, security and compliance. Success now depends not only on hardware quality, but also on data handling and intelligent functionality.
In this new era, AI is not just enhancing medical devices — it’s redefining their role in care delivery.
