± SPORTS Machine learning (ML) applications continue to grow in popularity across the sport industry, offering new opp…+ LABOR As governments worldwide seek to modernise public administration through digital technologies, understanding…± HEALTH Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and…± HEALTH (1) Background/Objectives: Over one billion individuals globally live with mental health conditions, yet the…± HEALTH Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragm…− HEALTH ChatGPT Health was launched in January 2026 as OpenAI's consumer health tool and has reached millions of user…+ EDUCATION This study investigates the effectiveness of AI-enhanced pedagogical practices on improving the mathematical…+ POLICY This study examined how users’ perceptions of algorithmic influence and AI manipulation are associated with k…
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Machine learning applications in sport: a scoping review

Machine learning (ML) applications continue to grow in popularity across the sport industry, offering new opportunities for performance enhancement, injury prevention, and decision-making. The present scoping review examined the landscape of ML applications in sport by analyzing 270 peer-reviewed studies published between 2002 and 2024. ML was applied across 12 broad subject areas, with computer science, biomechanics, and sport psychology emerging as the most common domains of application. Key applications inclu…

Frontiers in Psychology · Sports

Machine learning applications in sport: a scoping review
Artificial intelligence applications in sport-related concussion: an updated scoping review
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Artificial 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)…

Sports
Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle
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Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle

We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year. First came the news that 300 line judges had been replaced by artificial intelligence robots. Then, a few days later, it turned out there were some embarrassing gremlins in the machine. Not since Roger Federer hung up his Wilson racket has there been a sweeter spot hit during the Wimbledon fortnight. First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during he

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