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 25+ 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.
- 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
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.
- 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
- 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.
