Publicação
Editorial: Harnessing artificial intelligence in sports science: enhancing performance, health, and education
| Resumo: | Artificial intelligence (AI) has emerged as a transformative force within sports science, enabling unprecedented advances in the understanding, monitoring, and optimization of human performance, health, and learning processes. The increasing availability of high-resolution data derived from wearable technologies, tracking systems, video analysis, and digital learning platforms has necessitated the adoption of advanced analytical frameworks capable of managing complexity, non-linearity, and interindividual variability. Within this context, the present research topic brings together eleven contributions that collectively demonstrate how AI-driven methodologies can enhance performance analysis, support health-oriented decision-making, and foster innovation in sports performance, health, and education. |
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| Autores principais: | Teixeira, José Eduardo |
| Outros Autores: | Forte, Pedro; Ferraz, Ricardo; Morgans, Ryland; Branquinho, Luís |
| Assunto: | AI Big data Deep learning Health Machine learning Physical education Sports performance |
| Ano: | 2026 |
| País: | Portugal |
| Tipo de documento: | editorial |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | Artificial intelligence (AI) has emerged as a transformative force within sports science, enabling unprecedented advances in the understanding, monitoring, and optimization of human performance, health, and learning processes. The increasing availability of high-resolution data derived from wearable technologies, tracking systems, video analysis, and digital learning platforms has necessitated the adoption of advanced analytical frameworks capable of managing complexity, non-linearity, and interindividual variability. Within this context, the present research topic brings together eleven contributions that collectively demonstrate how AI-driven methodologies can enhance performance analysis, support health-oriented decision-making, and foster innovation in sports performance, health, and education. |
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