AI+ Audiologists
Diagnose, Fit and Follow Up Smarter with AI
Your ears verify it. Not the fitting software.
The hearing aid manufacturers keep adding "AI" to the box. What about the report you have to write, the fitting suggestion you have to check, the referral letter due before lunch? AI+ Audiologists gives you the TUNE Protocol for AI governance built around fitting-parameter verification and audiometric data security, the HEARS Framework for AI across your full consultation cycle, and 25+ prompt templates for the documentation that eats your day. Built by an AI engineering firm for audiologists who trust their own ears — and their own verification — over a fitting suggestion.
- 14 ready-made, market-tested prompts: case history, diagnostic reports, referral letters, CPD
- The TUNE Protocol — four-part AI governance check built around fitting-parameter verification
- The HEARS Framework — AI mapped across the full history-to-support consultation cycle
- A worked critique showing an AI fitting suggestion caught before real-ear verification
- A 90-day plan with diagnostic, paediatric/vestibular, and specialist-setting tracks
A registered audiologist (UK/Ireland HCPC/CORU; US ASHA/state licensure/AAA; Canada; Australia) working across diagnostic audiology, hearing aid dispensing, paediatric, vestibular/balance, cochlear implant, or industrial/occupational settings in NHS, hospital, private practice, or community clinics.
Also for:Hearing aid dispensers and audiology assistants; audiology students and clinical fellows; practice owners and service managers considering AI adoption; ENT colleagues who work alongside audiologists on diagnostic pathways.
- Apply the TUNE Protocol to classify audiometric and imaging data and confirm independent verification of hearing aid fitting parameters before any professional AI interaction
- Use the HEARS Framework to integrate AI across the full audiology consultation cycle — from case history through assessment, diagnosis, management, and ongoing care
- Use AI to support case history summarisation, diagnostic pattern-recognition review, and clinical documentation — while retaining full professional accountability for every diagnosis, fitting parameter, and referral decision
- Identify appropriate AI use cases across specialist audiology settings including cochlear implants, industrial/occupational audiology, and tele-audiology
- Build and execute a 90-day AI adoption plan calibrated to their practice setting
- Diagnostic
- How AI-ready is your audiology practice?
- Chapter 1
- AI in Audiology Right Now
- Chapter 2
- The TUNE Protocol: Your AI Governance Foundation
- Chapter 3
- The HEARS Framework: AI Across the Audiology Consultation Cycle
- Chapter 4
- Case History and Diagnostic Test Interpretation with AI
- Chapter 5
- Hearing Aid Fitting and Verification: Where AI Assists and Where It Doesn't
- Chapter 6
- Tinnitus and Vestibular/Balance Assessment with AI
- Chapter 7
- Paediatric and Adult Differential Diagnosis: Red Flags and Medical Referral
- Chapter 8
- AI in Specialist Audiology Settings: Cochlear Implants, Industrial/Occupational, and Tele-audiology
- Chapter 9
- Clinical Documentation, CPD, and Evidence-Based Audiology Practice
- Chapter 10
- Your 90-Day Audiologist's AI Practice Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for audiologists who trust their own ears — and their own verification — over a fitting suggestion.
