Screen a patient
Point the camera at the skin lesion, then capture.
My Cases
Track every case you submitted and where it is in review.
Learn by body area
Pick a part of the body to see the conditions that typically affect it.
Reference material for learning — not reviewed by a veterinarian and not a diagnosis.
Profile & Score
How it works
- Capture 3 angles of a real skin lesion: overview, close-up, side.
- A vet checks each case in two review phases before it earns full points.
- Rare and correctly-labelled conditions earn bonus points.
Screening result
No heatmap available.
This score is not the probability that the patient has this condition.
All conditions
What is the correct condition?
Your answer trains and improves the AI.
Submitted. A veterinarian confirms the diagnosis — you do not need to label it.
Annotation Lab
Turn old raw images into training-ready labels.
| Object | Label | Area | Source | State |
|---|
Raw image annotation
Record what you can see — body area, visual signs, quality and any lesion boxes. A reviewer adds the diagnosis afterwards.
Advanced tools
No heatmap available.
This score is not the probability that the patient has this condition.
Similar approved cases
Previous reviews
Scoring checklist
The student sees this and can retake the photos on the same case.
Disputes
Raised by students who believe a notice was a mistake.
Integrity notices
Notices issued against submissions in this clinic.
Review access requires reviewer or admin role.
Patients
Case history
Treatments
Outcomes & follow-up
Clinic dashboard
Operational view of cases, review quality, and training readiness.
Confirmed cases per condition
Training pipeline
Clinic data asset
Confusion matrix
Improve the AI
Confirmed cases become training data.