aceArtificial intelligence applications in sport-related concussion: an updated scoping review
OBJECTIVES: Sport-related concussion is a complex mild traumatic brain injury for which diagnosis, monitoring, and prognosis remain largely dependent on subjective clinical assessment. Artificial intelligence has emerged as a potential tool to enhance objectivity by integrating large, multimodal datasets across the concussion care pathway. DESIGN: Scoping review. METHODS: A systematic literature search was conducted across six databases (MEDLINE, EMBASE, SPORTDiscus, Scopus, Web of Science, and Cochrane Central)…
AI models using EEG, speech, motor data, wearables and video have been applied to detect concussion and quantify head-impact exposure while reducing false-positive events.
Current AI studies for sport-related concussion are frequently constrained by small or imbalanced samples, inconsistent definitions, limited external validation, and poor model interpretability.
Evidence base is heterogeneous with small or imbalanced samples, inconsistent outcome definitions, limited external validation, and poor interpretability, supporting use only as decision-support.
Evidence
- Peer-reviewedJournal of Science and Medicine in Sport2026-05-01
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Truvace Impact Record TRV-2026-0141, v1: “Artificial intelligence applications in sport-related concussion: an updated scoping review.” Truvace, 2026-07-13. /record/TRV-2026-0141 (accessed at citation time). sha256 4003ee0c791d9c0d…
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