AI+ Podiatrists
Assess, Treat and Document Smarter with AI
Your judgement prevents the amputation. Not the app.
The wound photo, the risk classification, the MDT update due before your next patient — AI can help with exactly one of those, and it isn't the one that matters most. AI+ Podiatrists gives you the STRIDE Protocol for AI governance built around image consent and non-delegable risk stratification, the TREAD Framework for AI across your full practice cycle, and 20 prompt templates for the documentation that eats your day. Built by an AI engineering firm for podiatrists whose judgement is the thing that actually prevents an amputation.
Inside
- 20 ready-made, market-tested prompts: assessment write-ups, wound notes, referral letters, CPD
- The STRIDE Protocol — six-part AI governance check built around image consent and risk stratification
- The TREAD Framework — AI mapped across the full triage-to-review podiatric practice cycle
- A worked critique showing an AI wound-imaging flag corrected against direct examination
- A 90-day plan with diabetic foot, biomechanics/MSK, and nail surgery/paediatric/sports tracks
Who this is for
A registered podiatrist (UK HCPC; US APMA/state licensure; Australia Podiatry Board; Canada) working across biomechanics, diabetic foot and wound care, nail surgery, orthotics, paediatric, or sports podiatry in NHS diabetes teams, hospital, community, or private practice settings.
Also for:Podiatry assistants and students; practice owners and service managers considering AI adoption; MDT colleagues (diabetes nurses, vascular surgeons, tissue viability) who work alongside podiatrists on diabetic foot caseloads.
You’ll be able to
- Apply the STRIDE Protocol to classify wound images and clinical data and confirm non-delegable risk stratification before any professional AI interaction
- Use the TREAD Framework to integrate AI across the full podiatric practice cycle — from assessment through treatment, adjustment, and documentation
- Use AI to support biomechanical assessment documentation, wound measurement, and clinical reporting — while retaining full professional accountability for every diabetic foot risk classification and referral decision
- Identify appropriate AI use cases across specialist podiatry settings including paediatric, sports, and high-risk diabetic foot clinics
- Build and execute a 90-day AI adoption plan calibrated to their caseload and setting
What’s inside
- Diagnostic
- How AI-ready is your podiatric practice?
- Chapter 1
- AI in Podiatry Right Now
- Chapter 2
- The STRIDE Protocol: Your AI Governance Foundation
- Chapter 3
- The TREAD Framework: AI Across the Podiatric Practice Cycle
- Chapter 4
- Biomechanical and Vascular/Neurological Assessment with AI
- Chapter 5
- Diabetic Foot Risk Stratification: Where AI Assists and Where the Decision Stays Human
- Chapter 6
- Wound Care Documentation and Photography with AI
- Chapter 7
- Nail Surgery, Orthotics, and Footwear Prescription with AI
- Chapter 8
- AI in Specialist Podiatry Settings: Paediatric, Sports, and High-Risk Diabetic Foot Clinics
- Chapter 9
- Clinical Documentation, CPD, and Evidence-Based Podiatric Practice
- Chapter 10
- Your 90-Day Podiatrist's AI Practice Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for podiatrists whose judgement is the thing that actually prevents an amputation.
