AI+ Radiographers and Medical Imaging Professionals
AI Skills for Diagnostic and Therapeutic Radiography
The AI triage tool flagged something. Nobody told you what to do next.
AI tools are arriving in imaging departments faster than governance frameworks are being built. This book gives radiographers the frameworks, prompts, and professional protocols to work confidently with AI across the full imaging pathway — from referral review and patient preparation through examination documentation, dose governance, and therapeutic radiotherapy delivery. Built by an AI engineering firm for the radiographers building the AI governance their departments haven't yet created.
- 35 ready-made prompt templates: referral synthesis, examination records, dose justification, and urgent escalation communications
- The FRAME Framework — five-stage AI workflow map for the diagnostic imaging examination pathway
- The DOSE Protocol — AI safety for DICOM data, radiation dose records, and professional accountability
- A dedicated therapeutic radiography chapter covering AI auto-segmentation, IGRT, and treatment documentation
- Your 90-day adoption roadmap with personal prompt library templates and a team governance starter kit
Registered diagnostic or therapeutic radiographer working in NHS or public hospital, private hospital, or dedicated imaging or radiotherapy centre. Typically 2–15 years post-qualification. Diagnostic radiographers operate a range of modalities: plain X-ray, CT, MRI, ultrasound, fluoroscopy, nuclear medicine, PET-CT, or mammography — often specialising in one or two modalities. Therapeutic radiographers plan and deliver external beam radiotherapy for cancer patients across a treatment course of several weeks. Manages a high throughput of examinations or treatment sessions with documentation, dose recording, and patient preparation responsibilities. Increasingly encountering AI detection tools and AI-assisted protocol systems installed on PACS and scanners without formal training on how to use or evaluate them.
Also for:Assistant practitioners and radiology support workers supervised by registered radiographers; student radiographers in clinical placements; sonographers; nuclear medicine technologists; reporting radiographers and advanced clinical practitioners in imaging; radiology team leaders and imaging department managers.
- Apply the FRAME Framework to design AI-assisted imaging workflows from referral review through examination planning, image acquisition, documentation, and urgent findings escalation — across diagnostic and therapeutic radiography contexts
- Generate structured referral reviews, examination preparation checklists, patient communication materials, and clinical documentation using AI prompts tailored to medical imaging practice
- Evaluate AI-assisted imaging outputs — including AI detection flags, dose optimisation suggestions, and protocol recommendations — using the TRUST Framework and source-image verification discipline
- Apply the DOSE Protocol to ensure safe, compliant AI use across imaging practice — covering DICOM data identifiability, professional accountability, source verification, and radiation exposure governance
- Integrate AI into daily radiography practice — from examination planning through structured reporting support — while maintaining the radiographer's professional judgement as the quality layer
- Diagnostic
- How AI-ready is your imaging practice?
- Chapter 1
- AI in Medical Imaging Right Now
- Chapter 2
- Your AI Toolkit for Imaging Practice
- Chapter 3
- Referral Review and Examination Planning with AI
- Chapter 4
- Image Acquisition, Protocol Optimisation, and Quality Assurance
- Chapter 5
- Structured Reporting Support and Clinical Documentation
- Chapter 6
- Radiation Dose Management and Safety with AI
- Chapter 7
- Patient Communication, Education, and Consent
- Chapter 8
- Therapeutic Radiography
- Chapter 9
- Safety, Ethics, and Professional Governance in Imaging AI
- Chapter 10
- Your 90-Day Imaging AI Practice Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for the radiographers building the AI governance their departments haven't yet created.
