Why it matters
Without it, undetected micro-injuries can escalate, fixtures risk cancellation, welfare breaches may occur, and vet checks become reactive rather than proactive.
From design to safety
Design
AI health design framework
Data schema defines SDFT and suspensory targets, leg heat sensors, ultrasound data, and workload metrics to guide monitoring rules and rehab planning thresholds for welfare.
- superficial digital flexor tendon
- suspensory ligament
- leg heat sensor
- ultrasound scanner
Build
Integrating data streams
Sensor networks and data pipelines capture live leg temperatures, ultrasound reads, and chukka counts to feed the risk model, alert thresholds, and vet review queues, with versioned changelogs.
- leg heat sensor
- ultrasound scanner
- chukka workload monitor
Operation
Real-time risk scoring
Daily flags combine SDFT strain indices, suspensory loading, heat anomalies, and game load to produce clinician-ready risk scores, automatically prioritizing cases for vet inspection.
- superficial digital flexor tendon
- suspensory ligament
- chukka workload monitor
Maintenance
Calibration and QA
Regular calibration of thermography, ultrasound presets, and workload baselines ensures consistent alerts, reduces false positives, and maintains traceable calibration certificates for audit readiness and regulatory compliance.
- leg heat sensor
- ultrasound scanner
- chukka workload monitor
Safety
welfare and medical governance
Qualified checks sign off on high-risk cases, adjusting paddock rest, rehab plans, or match restrictions per Blue Book welfare rules and association standards.
- suspensory ligament
- ultrasound scanner
- leg heat sensor
Part by part
- 1
superficial digital flexor tendon
- Watch for
- Early micro-tears or localized thickening indicating impending tendinopathy.
- AI action
- Trigger tendinopathy risk alert, automatically log SDFT strain, and request immediate vet review.
- 2
suspensory ligament
- Watch for
- Increasing ligament width, uneven heat pattern, or edema on ultrasound.
- AI action
- Flag high suspensory strain and schedule ultrasound follow-up within 24 hours.
- 3
leg heat sensor
- Watch for
- Patches of elevated surface temperature exceeding baseline spread.
- AI action
- Emit leg heat anomaly alert and prompt on-site assessment by vet and rider.
- 4
ultrasound scanner
- Watch for
- New hypoechoic or fiber disruption zones in SDFT or suspensory.
- AI action
- Log ultrasound finding and escalate to the resident equine vet immediately.
- 5
chukka workload monitor
- Watch for
- Excessive cadence, sprint work, or long chukka sequences without rest.
- AI action
- Raise workload risk score and suggest rest or recovery plan with schedule.
- 6
pony wearables kit
- Watch for
- Continuous gait and limb motion deviations during play.
- AI action
- Monitor continuous gait and limb motion deviations during play for early signs.
Worked example
Pony11 tendon watch at a 6-field club
Illustrative scenario with sample data.
A mid-season trial at a 6-field club shows rising leg temperatures and a subtle ultrasound change in a prime string and concurrent slight gait asymmetry observed during trotting work.
Signal in
fieldName: pitch1, data: {temp: 38.2, ultrasound: {SDFT: -0.3, suspensory: 0.2}, chukka: 4, restHours: 8, gait: 'slightly uneven', previousInjury: 'none'}
System out
Alert: elevated leg heat detected in Pony11; ultrasound indicates early SDFT change; recommend vet review and reduced workload; arrange recheck in 72 hours; initiate light duty and targeted rehabilitation protocol.
Human sign-off: The club equine vet reviews the ultrasound and rest plan, approving a one-week rest and rehab protocol before fitness recheck, and updates the welfare ledger.
How to roll it out
Phase 1
Weeks 1 to 2
Baseline sensor calibration, establish normal leg heat and ultrasound reference values, and validate data integrity across devices.
Phase 2
Weeks 3 to 6
Deploy real-time monitoring, set initial alert thresholds, train staff on response workflows, and align with welfare protocols.
Phase 3
Weeks 7 to 12
Refine risk scoring, integrate with welfare decisions and match scheduling, and document adjustments to training plans.
Where people stay in charge
- Decisions on rest, treatment, or rider restrictions must be signed off by the club equine vet or governing welfare officer.
- All data sharing restricted to authorized personnel with access logs and audit trails.
- Pony rehab plans and match restrictions require formal approval by the welfare committee before implementation.
Questions owners and crews ask
How does AI detect early tendon changes without frequent scans?
The system combines leg heat evolution, baseline ultrasound matrice, and workload trends to identify abnormal trajectories, triggering vet review before visible injury develops in time.
What happens when an alert is triggered during a chukka?
A clinician is notified, the pony’s workload is reduced, and a welfare plan is placed with rest, rehab, or alternate string assignment as needed. The plan is documented in the central equine health record and shared with the third man and tournament director as required.
How are data privacy and horse records managed?
All data are stored in the club’s veterinary records system with access controlled for vets, managers following welfare protocols. Audit trails ensure accountability, and data retention complies with Blue Book standards.
Who signs off on ride or match restrictions?
The club equine vet or welfare officer signs off after clinical assessment and rehab plan validation, with written approval filed in the welfare committee case file.