Why it matters
Without AI, pregnancy checks risk missed twin embryos, late embryonic loss, misinterpretation of scans, and fragmented records that hinder timely veterinary action and licence compliance.
From design to safety
Design
AI-informed breeding design and documentation
Data streams define scan workflows, per-pony handling, and record structures for pregnancies, twins, and early losses; include data retention schedules, access controls, audit trail standards, and vet-review checkpoints.
- ultrasound machine
- ultrasound transducer
- sterile gel dispenser
Build
Install diagnostic hardware and data pipelines
Site layout allocates dedicated scan room, power, network, and storage; interfaces link ultrasound devices to the mare-health database and alert systems; establish backup power and climate controls.
- ultrasound machine
- ultrasound transducer
- sterile gel dispenser
- scan records database server
Operation
Daily scans, checks, and triage workflows
AI reviews 14-day pregnancy checks, flags twins, monitors ongoing embryonic activity, and generates vet-facing alerts and treatment notes; include isolation status indicators and consent logs.
- ultrasound machine
- ultrasound transducer
- scan records database server
Maintenance
Calibration, data integrity, and consumables
Regular probe calibration, gel reservoir checks, and data backup procedures; track firmware versions, calibration certificates, and supply stock levels for gels and disposables.
- sterile gel dispenser
- scan records database server
Safety
Welfare, biosecurity, and licensing readiness
AI-supported welfare flags, isolation procedures, and compliant recordkeeping support regulatory inspections and biosecurity measures; maintain fire, access, and medication security controls.
- scan records database server
- twin detection alert module
Part by part
- 1
ultrasound machine
- Watch for
- Device drift, unstable calibration, power faults, or incompatible software updates that degrade image quality.
- AI action
- Read imaging quality metrics; trigger recalibration or service ticket to the technician.
- 2
ultrasound transducer
- Watch for
- Probe wear, cracked housing, degraded coupling, or loss of sensitivity in piezoelectric elements.
- AI action
- BQI check signal-to-noise ratio; schedule maintenance or replacement.
- 3
sterile gel dispenser
- Watch for
- Low gel volume, expired stock, cross-contamination risk.
- AI action
- Issue reorder alert and verify batch usage against scan log.
- 4
scan records database server
- Watch for
- Backup failures, incomplete synchronization, or access control breaches.
- AI action
- Run integrity check, trigger backup, alert manager of anomaly.
- 5
14-day pregnancy log
- Watch for
- Missed entries, dates out of sync, or missing consent signatures.
- AI action
- Flag missing data, prompt nurse/vet to complete entry.
- 6
twin detection alert module
- Watch for
- Unresolved twin signals, conflicting interpretations, or late-enrollment cases.
- AI action
- Generate twin risk alert with recommended vet plan and isolation notes.
Worked example
Catching a twin early in the scan cycle
Illustrative scenario with sample data.
A broodmare near 28 days gestation undergoes routine scan; AI flags potential twin gestation requiring confirmation by the on-site vet.
Signal in
mareID: 1024; scanDate: 2026-11-02; gestationalAge: 28; imageQuality: 92; twinProbability: 0.78; placentaStatus: uncertain; vetOnCall: true
System out
Twin risk alert generated for mare 1024; recommended action: immediate re-scan in 7 days and prepare isolation box; notification sent to yard manager and vet.
Human sign-off: Yard manager reviews the alert, confirms with the attending veterinarian, approves next-scan schedule and isolation protocol.
How to roll it out
Phase 1
Weeks 1 to 4: Baseline
Install ultrasound hardware, connect to mare-health records, and train staff on basic data entry and alerts.
Phase 2
Weeks 5 to 8: Pilot
Run live scans on a subset of mares, tune AI thresholds, validate twin flags against vet findings.
Phase 3
Weeks 9 to 12: Scale
Roll out across the breeding operation, implement full 14-day checks, and standardise reporting for inspections.
Where people stay in charge
- All AI-driven welfare decisions must be reviewed and signed off by the attending veterinarian or the yard manager before actions are implemented.
- Data handling and retention must comply with governance rules; audit trails should be available for licensing inspections and regulatory reviews.
- Critical safety decisions, such as isolation or handling changes, require immediate approval by a licensed veterinarian and the stud manager.
Questions owners and crews ask
How does AI assist in 14-day pregnancy checks for broodmares?
AI processes ultrasound images, flags risky findings like persistent non-viable signals or potential twins, and prompts veterinary review while updating scan records in real time.
What happens if a potential twin is detected?
The system generates a twin risk alert with recommended vet actions, schedules a follow-up scan, and logs isolation and treatment steps for regulatory compliance.
What records are produced by AI-assisted scans?
A complete scan record including mare ID, scan date, gestational age, image quality, AI flags, vet notes, and shelter or isolation actions is stored.
Who signs off decisions driven by AI in breeding scans?
The attending veterinarian signs off medical decisions, and the yard manager signs off operational actions, ensuring regulatory and welfare compliance.