AI for Physiotherapy

Learn to use AI in physiotherapy with sound judgement: movement analysis, wearables, exercise prescription, telerehabilitation and clinical notes. A fictional physiotherapy centre case. The model suggests. The physiotherapist decides.

Developed under the new AI Act model · Continuous updates

IntellCore campus app, available on iOS and Android

Edition 2026

200 hours of applied learning

8 academic credits

25 lessons + 6 workshops

Digital campus

Verifiable certificate

550 USD one payment · or 2 × 275 USD (today and after 30 days)

Enroll here

What you'll learn

Explain what AI is and which tools physiotherapy uses today, along with their limits.
Validate movement measurements from computer vision and sensors against the clinical reference.
Design safe exercise and telerehabilitation programmes, with red-flag detection and referral.
Use AI to search for evidence, measure outcomes and reason through cases without delegating the clinical decision.
Review ambient-scribe notes and apply regulation and professional principles on AI.
Defend an AI plan for a physiotherapy centre with a pilot, indicators and governance.
Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.

Program curriculum

01 — AI in physiotherapy

What AI is, who invented it and where it came from
From lab biomechanics to computer vision: AI arrives in physiotherapy
The 2026 landscape: documentation, movement, clinical decisions and telerehabilitation
Language models in physiotherapy: safe uses and verification
Data, wearables and privacy
Workshop 1 · Map of AI uses and risks at Mova

02 — Movement analysis

Computer vision and pose estimation
Inertial sensors and wearables
Validity and reliability: comparing against the reference
Measuring range of motion and gait in the clinic
Workshop 2 · Validation of the goniometry app against the goniometer

03 — Exercise prescription and telerehabilitation

AI-assisted exercise programmes
Telerehabilitation and digital platforms
Adherence, feedback and motivation
Safety: red flags, triage and referral
Workshop 3 · Home programme and red-flag protocol

04 — Clinical reasoning and evidence

Decision support and prognosis prediction
Searching and synthesising evidence with AI
Outcome measures and questionnaires (PROMs)
Neurological and sports: use cases
Workshop 4 · Evidence report for a case and measurement plan

05 — Documentation, ethics and regulation

Ambient scribes and SOAP notes
Regulation: medical software, the AI Act and Latin America
Professional principles on AI in physiotherapy
Liability, consent and equity
Workshop 5 · Audit of 25 scribe-generated notes

06 — Final project: an AI plan for a physiotherapy centre

Designing the plan
Pilot and measurement
Governance, training and updates
Report and defence
Workshop 6 · Mova's AI plan and final report

07 — IntellCore AI Act Method™ applied to your field

The EU AI Act 2026: risk levels, prohibited practices and obligations
Transparency, human oversight and documentation in your professional field
Classifying and auditing a real AI use case step by step
Your compliance file: certified with the IntellCore AI Act Method™

Practical application

· Map of AI uses and risks at Mova
· Validation of the goniometry app against the goniometer
· Home programme and red-flag protocol
· Evidence report for a case and measurement plan
· Audit of 25 scribe-generated notes
· Mova's AI plan and final report

Practical project: AI plan for Mova Physiotherapy: map of uses, validation of a goniometry app, home programme with red flags, audit of scribe notes and a pilot with stopping criteria.

Who is this for?

· Physiotherapy
· Sports physiotherapy
· Neurorehabilitation
· Occupational therapy
· Return-to-play rehabilitation
· Centre management

Requirements

· No technical knowledge or programming required.
· Basic use of documents and spreadsheets.
· Work exclusively with the fictional case and synthetic data; never enter real patient data.

Edition 2026

What each week includes

Every week of the program follows the same structure.

01
Explainer video per lesson
02
Guided reading (6 h)
03
IntellCore Labs · ~90 min workshop with data
04
Verified real case
05
IntellCore Podcast
06
IntellCore Radar
07
Self-assessment
08
Practice and exam (70%, 3 attempts)
09
Extended practice (5 h)
10
IntellCore AI Act Method™ module applied to your field (30 h)
11
Applied final project (30 h)
12
6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h
13
Downloadable PDF summary