Aston University healthcare AI initiative

Responsible AI learning, made practical for healthcare.

MedAI Learn advances AI literacy, co-designs education, and builds evidence for safe and effective AI adoption across the healthcare workforce.

Healthcare professionals attending an AI learning workshop
Co-designed with healthcare professionals, educators, and researchers across the West Midlands.

500+

healthcare professionals trained

20+

NHS educators engaged

6+

workshops delivered

3

AI training programmes developed

Bridging the gap between AI and clinical practice.

AI is rapidly being deployed across NHS imaging services, yet clinical teams need reliable ways to understand their readiness and access learning that matches different levels of experience.

The challenge

Confidence and capability vary across imaging roles and departments. There has been no validated way to link readiness with personalised learning pathways.

Our approach

We co-design each component with NHS radiologists, medical physicists, and clinical teams so the learning reflects genuine workflows, governance requirements, and patient-safety concerns.

What we are building

An evidence-led learning programme alongside a medical imaging AI capability assessment and adaptive learning platform.

Three ways to build confidence

Training, assessment, and research work together—each with a clear place in the journey.

01

Learn with clinical context

CPD programmes are co-designed with radiologists, medical physicists, and NHS digital leads, reflecting the real choices behind AI adoption in healthcare.

Explore courses →
02

Understand your next step

The assessment helps participants identify current AI knowledge and access learning materials that support their development.

Take the assessment →
03

Follow the evidence

Our workshops, research, and case studies contribute practical evidence for responsible AI learning and healthcare implementation.

Read the evidence →
MedAI learning platform showing an AI Foundations course

A clear route from assessment to learning.

The self-assessment leads participants through a pseudonymised account, consent, ten structured questions, results, and learning recommendations.

  • Personalised AI knowledge assessment
  • Learning materials across key healthcare AI domains
  • Results and recommendations designed for practical next steps
Start your assessment

The team behind the work

A multidisciplinary group of researchers and clinical specialists advancing responsible AI adoption across healthcare.

SF

Dr Shereen Fouad

Principal Investigator

AE

Prof Aniko Ekart

Co-Investigator

AA

Abdallah Abdelhameed

Research Assistant

BB

Dr Bahadar Bhatia

NHS Clinical Lead

JM

Dr John Morlese

Consultant Radiologist

IZ

Iszara Blake

Research Team

Bring responsible AI learning to your organisation.

Work with MedAI Learn on training, research collaboration, pilot support, or a tailored workshop.

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