+ SCIENCE Early detection of plasma cell disorders (PCDs) remains challenging due to limited accessibility of gold stan…− MEDIA & ARTS Cadence Weapon never gave artificial intelligence permission to learn from his music. But the Edmonton-raised…− MEDIA & ARTS Concerns come as music industry pushes for rules requiring AI companies to compensate songwriters and musicia…− CLIMATE Anti-datacentre sentiment is growing from across the political spectrum in the US. More than a dozen states h…± HEALTH Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine manage…+ HEALTH This multicenter study developed and validated an interpretable machine learning model integrating granular n…+ HEALTH Multiple stakeholders need to locate results of registered clinical trials but frequently struggle to find th…+ HEALTH Accurate preoperative glioma grading and molecular subtyping are important for treatment. The vascular microe…
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15 stories · page 1 of 1

Evidence-backed gain

Can Artificial Intelligence Match Human Expertise in Long-Term Periodontal Prognosis? A Comparative Accuracy Study

To compare the prognostic performance of an artificial intelligence (AI) model with that of experienced clinicians in predicting tooth loss over a 10-year period. An AI model trained on structured clinical and radiographic data was compared with 12 periodontists and 11 general dentists (GDs), who independently assigned prognostic scores (0-10 scale) to 300 teeth with known 10-year outcomes. AI and clinician performance were evaluated under a fixed threshold and group-specific optimal thresholds. Accuracy, sensit…

Journal of Clinical Periodontology · Sports

Can Artificial Intelligence Match Human Expertise in Long-Term Periodontal Prognosis? A Comparative Accuracy Study
Game, set, Chat: how tennis players use AI to scout opponents and run their lives
Evidence-backed gain

Game, set, Chat: how tennis players use AI to scout opponents and run their lives

Not so long ago, Emma Raducanu was on her phone when she found herself wondering what her comprehensive usage of ChatGPT said about her own character. “I use Chat a lot,” Raducanu says, laughing. “Every small thing I do it and I got this idea. So, you know how Spotify do a Spotify Wrapped? I asked ChatGPT to make me a Chat Wrapped, and it was giving me a rundown on my personality. “I was like: ‘It’s a little bit too accurate.’ It was very clear, very concise. No nonsense, straight into the question. I thought: ‘…

Sports
Delhi HC protects Yuvraj Singh's personality rights, says AI-generated deepfakes, unauthorised commercial use tarnish reputation, violate law
Evidence-backed problem

Delhi HC protects Yuvraj Singh's personality rights, says AI-generated deepfakes, unauthorised commercial use tarnish reputation, violate law

The Delhi High Court has protected Yuvraj Singh's personality rights. AI-generated deepfakes and unauthorised exploitation damage his reputation and commercial value. The court issued an interim injunction against creating and publishing such content. This order reinforces celebrity rights in the age of artificial intelligence. Violators of these rights will be dealt with severely.

Sports
Artificial Intelligence in Sports Biomechanics: A Scoping Review on Wearable Technology, Motion Analysis, and Injury Prevention
Evidence-backed gain

Artificial Intelligence in Sports Biomechanics: A Scoping Review on Wearable Technology, Motion Analysis, and Injury Prevention

This scoping review examines the application of artificial intelligence (AI) in sports biomechanics, with a focus on enhancing performance and preventing injuries. The review addresses key research questions, including primary AI methods, their effectiveness in improving athletic performance, their potential for injury prediction, sport-specific applications, strategies for translating knowledge, ethical considerations, and remaining research gaps. Following the PRISMA-ScR guidelines, a comprehensive literature…

Sports
SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach
Both readings

SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach

Sports injury prediction is crucial for university football player health, yet existing research predominantly focuses on professional athletes and lacks interpretability. Using the Kaggle "University Football Injury Prediction Dataset" (800 Chinese university players), we constructed a comprehensive 18-feature evaluation system across four dimensions: basic information, training factors, physical fitness, and lifestyle habits. We systematically compared 10 machine learning algorithms. The Support Vector Machine…

Sports
Motion Capture Technology in Sports Scenarios: A Survey
Evidence-backed gain

Motion Capture Technology in Sports Scenarios: A Survey

Motion capture technology plays a crucial role in optimizing athletes' skills, techniques, and strategies by providing detailed feedback on motion data. This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. By comparing and analyzing the characters and applications of different motion capture technologies in sports scenarios, it is observed that cinematography motion capture technology remains the gold…

Sports
Ethical examination of AI coaches: privacy, bias, and responsibility
Both readings

Ethical examination of AI coaches: privacy, bias, and responsibility

The integration of artificial intelligence (AI) into sports, particularly through AI-driven coaching systems, marks a transformative advancement with the potential to revolutionize personalized training. AI coaches can create customized, data-driven training programs designed to optimize athletic performance. However, this technological progress also brings with it significant ethical concerns, including privacy violations, data biases, and ambiguous responsibility in cases of failure or misuse. These risks exte…

Sports

Brady Tkachuk decries White House’s AI video of him insulting Canadians after US gold

US ice hockey star Brady Tkachuk has said he does not appreciate an AI video released by the White House that shows him insulting Canadians. Tkachuk played in the Americans’ victory over Canada at the Winter Olympics on Sunday, which secured the US men their first gold medal since 1980. In the wake of that win, the White House’s TikTok account published video of Tkachuk saying: “They booed our national anthem, so I had to come out and teach those maple syrup eating fuckers a lesson.” Tkachuk never said those wor…

Sports
Brady Tkachuk decries White House’s AI video of him insulting Canadians after US gold

Legal Foundations for the Application OF Artificial Intelligence Technologies in the Sports Industry

The integration of Artificial Intelligence (AI) technologies in the sports industry has brought about significant advancements in performance analysis, fan engagement, and decision-making processes. However, this rapid adoption of AI also raises complex legal challenges that require careful consideration. This article examines the legal foundations and implications of applying AI technologies in the sports industry. Through a comprehensive analysis of existing legal frameworks, case studies, and potential future…

Sports
Legal Foundations for the Application OF Artificial Intelligence Technologies in the Sports Industry

Application of Artificial Intelligence in Real-Time Strategic Decision Support System for Sports Competitions

Various high-tech technologies are used extensively around the world in sports competitions especially in athletic events where scientific real-time decision-making is essential to improve competitive efficiency and match outcomes. This research proposes the introduction of the concept of entropy by applying the ID3 algorithm with the use of the attribute entropy value change as the selection criterion to develop the decision tree model for real-time sports competition data processing. Meanwhile, an enhanced Mon…

Sports
Application of Artificial Intelligence in Real-Time Strategic Decision Support System for Sports Competitions

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…

Sports
Machine learning applications in sport: a scoping review

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
Artificial intelligence applications in sport-related concussion: an updated scoping review

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

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