AI-driven approach
Training load, sleep, recovery, injury history and performance indicators can be combined to estimate injury probability.
Output: “High injury risk detected.”
Inferential approach
The system goes further: it looks for hidden factor combinations, generates candidate explanations and compares alternative interventions.
Possible inference: travel fatigue + reduced recovery + high training intensity may be jointly driving the risk.
Human validation
Coach, medical staff and AI review the inference together. The organization checks explainability, scientific plausibility, evidence and contextual relevance before action.
Practical outcome
Adjust training loadImprove recoveryModify match exposureReduce preventable injury risk
Saeid Khorami, PhDFounder & President, SHITO-RYU EISHIKAI KARATE-DOSixth Generation of Digital Transformation