
This webinar explores how AI-supported radiographic analysis can enhance efficiency, strengthen patient trust, and improve clinical outcomes in modern UK dental practice.
Using a real-world case study from a multi-surgery practice in Scotland, the session examines the integration of AI-enhanced diagnostic support into routine examinations. Emphasis is placed on improving radiographic interpretation consistency, reducing explanation time, strengthening case acceptance, and supporting defensible record-keeping.
Participants will review measurable clinical and operational outcomes, including time savings per appointment, improved patient understanding, increased trust in diagnosis, and enhanced consistency throughout the clinical day.
This session is designed for associates, principals, and group leaders seeking structured, evidence-led diagnostic workflows aligned with UK professional standards.
Learning outcomes
- Explain how AI-supported radiographic tools enhance patient understanding and trust
- Identify workflow efficiencies associated with AI-assisted diagnostics
- Evaluate the impact of visual diagnostic aids on case acceptance
- Describe how AI support contributes to clinical consistency.
The speaker
Amanda Bassey-Duke is an associate dentist practising within a six-surgery site of Clyde Munro Dental Group in Perth, Scotland. She has focused her clinical approach on improving patient understanding and trust through structured diagnostic communication.
Following the integration of AI-supported radiographic tools into routine examinations, Dr Bassey-Duke reported measurable improvements in efficiency, diagnostic consistency, patient satisfaction, and treatment acceptance. Patient survey data demonstrated significant increases in understanding and trust, alongside measurable time savings per appointment.
She continues to advocate for evidence-led diagnostic workflows that support clinical excellence, patient-centred care, and sustainable practice.
You can sign up for the webinar here.
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