Program bundleSELF-PACED / ONLINE
2026 Annual Meeting CME Course Bundle
10 CME Credits
$300
Member $180
Annual Meeting session · 1 CEC
Trust, Bias and Audits for the Algorithmic Athlete: The Need for Human Judgment in the Age of AI?
As machine-learning and AI–driven predictive models become increasingly prevalent in athlete monitoring, injury-risk assessment, and the optimization of human performance, there is an urgent need for guidelines to ensure their transparent development, supervised implementation, and…
About this course
2026 ACSM Annual Meeting Session
What you will learn
- Describe current and emerging applications of AI-driven predictive models in athlete monitoring, injury-risk assessment, and human performance optimization
- Critically evaluate the validity, limitations, and ethical considerations of AI tools in sports medicine, including algorithmic bias, model validation, transparency, and governance
- Apply evidence-based strategies and interdisciplinary approaches to support the responsible implementation and evaluation of AI technologies in clinical and performance settings
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