Education
AI and technology education
Short, plainly written modules that explain what a technology does, what the evidence currently shows, and where uncertainty remains. Material is educational and is not clinical guidance.
Courses
Structured learning
Courses combine written modules, worked examples and knowledge checks. Where a certificate is available, it records participation rather than competence.
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Our approach
Cautious, evidence-led and honest about uncertainty
- We describe what a technology does and how it has been studied, rather than telling clinicians what to do.
- We state clearly where evidence is limited, early or conflicting.
- We separate regulatory status from clinical usefulness, and we do not comment on the approval status of individual products.
- We avoid promotional language and do not accept editorial direction from commercial supporters.
- Every module is reviewed by a named human author who is accountable for its content.
Topics covered
- What AI is, in surgical terms
- Machine learning and model behaviour
- Computer vision in theatre
- Predictive tools and risk scores
- Data protection and information governance
- Bias, equity and generalisability
- Evaluating evidence and study design
- Regulation and safety concepts
- Human factors and workflow
- Procurement and evaluation questions
Education material is provided for information and professional development. It does not constitute clinical, legal or regulatory advice.