AI4DH Lab Presents Interactive Healthcare AI Demonstrations at IBME Ox Tech Research Showcase

On 27th May 2026, the AI4DH Lab took part in the IBME Ox Tech Research Showcase, held in the Richard Doll Atrium. The event brought together researchers, students, and visitors to explore emerging technologies being developed across the Institute of Biomedical Engineering. As part of the showcase, our lab presented a set of interactive demonstrations illustrating how artificial intelligence can be applied to healthcare monitoring, digital health, and assistive technologies.

The demonstrations highlighted several practical applications of AI for supporting physical and mental well-being. Visitors were shown how an ordinary camera can be used as a contactless physiological sensor to estimate heart rate in real time. By detecting subtle changes in facial skin colour linked to blood circulation and applying signal processing methods, the system can extract heart rate information without requiring wearable devices. Another demonstration introduced real-time emotion recognition, using computer vision models to analyse facial expressions and micro-movements, with potential applications in remote mental health assessment and wellbeing monitoring. The lab also presented a multi-agent AI system designed to improve accessibility for patients with disabilities, demonstrating how intelligent digital tools can support more inclusive healthcare delivery.

The showcase was delivered by doctoral student Chenqi Li, postdoctoral research assistant Yu Liu, and Shuo Zhang. Through these demonstrations, the AI4DH Lab shared its ongoing work in AI-driven healthcare innovation and engaged visitors in discussions about how engineering, machine learning, and clinical needs can come together to improve future healthcare systems.