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Driving safe and effective AI innovation in healthcare through regulatory science & responsible innovation
Driving safe and effective AI innovation in healthcare through regulatory science & responsible innovation
AI and health technology should be safe, effective, and equitable. The NIHR - supported Incubator for AI and Digital Healthcare is dedicated to fostering a community to advance regulatory science and innovation.
We bring together patients, regulators, health professionals, policymakers, and industry leaders to share knowledge, tackle challenges, and develop solutions for better patient outcomes and accelerated innovation.
Could AI Take Your Research From Bench to Bedside?
Could AI Take Your Research From Bench to Bedside?
AI Action Challenge — Turn Your Research Into Patient-Ready Solutions
Working on cutting-edge healthcare research? The Incubator for AI & Digital Healthcare, HealthTech AI Hub, and University of Birmingham invite UK academics to submit an Expression of Interest for the AI Action Challenge, Fall 2027.
We're seeking innovations in: Digital Health Equity · Women's Health · Mental Health · Early Diagnosis · Long-Term Conditions · Workforce Optimisation
What you'll get:
Venture development workshops
Fully funded AI scientist interns & rapid prototyping (Fall 2027 Hackathon)
Masterclasses on grant writing & the NHS Adoption Pathway
A Demo Day pitch to investors
Supported by Resilience, LaunchPoint, CERSI-AI, Bright, GrantUp, and Future Planet Capital.
Deadline: 23 August 2026
👉 Submit your EoI or email ai.incubator@uhb.nhs.uk for more information
August Break: Explore Past Webinars
August Break: Explore Past Webinars
Like all medical interventions, AI medical devices have risks and benefits, and can sometimes cause harm to patients. Unfortunately due to the novelty of these emerging technologies, these harms may go unrecognised. The wider community looks in to adapting existing analytical & evaluation techniques to ensure AI medical devices are safe for use for our patients.
For AI medical devices to help patients they have to work as expected. We have collaborated with the National Institute for Health and Care Excellence (NICE) to update the evidence standards framework for digital health technologies, enabling commissioners and other key decision-makers to select AI and digital health technologies which best serve the needs of patients.
Recent research has flagged biased performance in healthcare AI systems This means that certain groups of patients are less able to benefit, and are more likely to be harmed than others. Often these biases disproportionately affect minoritised groups in society - for instance by unjustly withholding healthcare resources from Black patients, or by generating less accurate diagnoses for under-served patient groups.
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