Towards High-Accuracy Athletic Injury Predictions Using a First-Principles Modelling Approach: Theory to (Future) Practice

, the probability of an athletic injury occurring can be appropriately quantified. However, to offer practical utility for the prevention of athletic injuries in real-world settings, athletic injury predictions must provide sufficient windows for intervention. For injuries involving sudden unanticipated loads that exceed the possible physiological ranges of tissue strength, this method of athletic injury risk assessment may be of little value, as there is no window of opportunity for intervention. In scenarios where future loads experienced by an athlete can be estimated, tissue damage accumulates over time, or tissue load and strength values converge over time, actualising this approach by obtaining accurate estimations of these variables is likely crucial for achieving high-accuracy athletic injury predictions that offer specific data-driven windows for intervention.