Injury Prediction and Prevention through AI
AI's Injury Prediction and Prevention have taken a big step toward securing athletes' care. Technology and techniques are leading the way to safer player mindfulness with less injury and a more effective rehabilitation process.
AI powered wearables and biometric tracking devices such as the WHOOP strap, Oura Ring, and Catapult are changing the way the athletes' physiological variables are monitored in real time. These devices monitor variance in heart rate, sleep quality, muscle strain, and respiratory rate. BY continuously analyzing these data, AI recognizes the first signals of potential overexertion, dehydration, or insufficient recovery that, eventually, may end in an injury. For example, a decrease in heart rate variation may be a sign of fatigue which makes coaches rearrange an athlete's training.
AI doesn't only just monitor data, it gives specific recovery methods for individual cases. Monitoring biometric trends over time, AI supports development of individual recovery plans, suggesting the modifications of sleep, hydration and nutrition. This approach is not least used in the NFL, where the big physical effects on the participants are therefore the Inactive Training proper management to avoid such problems as concussions can do no good in these cases.
Computer vision has been essential in biomechanics analysis, in real time, correcting form and techniques so they are continuously monitored. This is especially effective in sports like soccer and basketball, where wrong movement during landings or abrupt directional changes could cause damage of knees or ankles. Equipment such as Dartfish and Simi Shape issue instant feedback, also athletes and coaches can single out and eliminate hazardous conduct before injuries.
AI powered video analysis helps physical therapists with rehabilitation progress verification. To count different body parts, after an injury biomechanics are compared with previous times when the athlete was whole.
This data allows therapists to pinpoint existing undetected stabilization problems or the patient's muscular shortcomings and even kick off the strengthening process to prevent another injury.
AI in prediction based analytics has provided the edge in injury prevention by virtue of analyzing the historical data to identify the risk factors related to particular conditions and previous injuries. The dice load is being the variable such as surface of playing, weather, and past injuries to develop personalized training programs through machine learning models.
Technology is also used in load and stress management for athletes who have different physical and mental stress tolerances. IBM’s Watson is such a platform that aggregates data to know the approaching “critical levels of stress and fatigue“ of players. This is of great help to team players to avoid burnout and overuse injuries which are very common in sports like basketball, soccer, and tennis.
AI is used to create the therapy sessions that are responsive to the real time feedback of the patient. Among these programs are modifications in the movements, pain levels, and gait that correlate with the athlete's development. As such, the ankle rehabilitation for a sprained one is to proceed accordingly or stop if mobility is gained or lost on a daily.

The AI technology includes the areas of proper, balanced diet and the essential component of mental health, which are the very crucial elements of overall athlete health. These tools conduct a psychological assessment and data analysis based on sentiment to measure the state of mental health and proceed with the plan of solution in that case, making suggestions of changes.
Nutrition is also a factor that is considered, with AI guiding them on how to optimize their meals, especially during the periods when athletes experience high stress.
Written by: Bernat Cusidó
References:
Horesh, A. (2023, May 24). AI in Sports Medicine: Unleashing A New Era of Athletic Success
FutureDoctor.AI. https://futuredoctor.ai/ai-in-sports-medicine/
Artificial Intelligence for Injury Prevention: The Economics and Effectiveness | Sportsology Group
(2023, September 13). https://sportsologygroup.com/articles/artificial-intelligence-for-injury
prevention-the-economics-and-effectiveness
Pericak, W. (2018, March 2). 5 ways NFL players recover & How You can too. WHOOP
https://www.whoop.com/us/en/thelocker/5-ways-nfl-players-recover-how-you-can-too/
Wow this sounds really amazing! Do you think the use of AI and wearables will also be accessible for amateur sports, or is this only for professional players?
ReplyDeleteI appreciate you asking! Wearables and artificial intelligence are definitely becoming more widely available, and we're already watching some of this technology into amateur and recreational settings. Nowadays, a lot of wearable technology and applications provide features like performance monitoring, tips for injury prevention, and customized training advice that are accessible to everyone, not just experts. Even though professional sports are still more likely to use sophisticated AI-driven tools, amateur athletes may soon be able to take use of them due to their growing accessibility and affordability!
DeleteInteresting read! Having personally experienced an ACL injury, I can really see from your blog post how much AI technology can help prevent similar injuries. Getting real-time data on load and fatigue during training would have been incredibly valuable for me. If I had received alerts about the risk of injuring myself, I might have been able to avoid the injury altogether! I truly believe this technology could change the way we manage our injury risk.
ReplyDeleteI appreciate you sharing your story. Your viewpoint demonstrates the significant influence AI technology may have on athlete wellbeing and injury avoidance. For athletes recuperating from or attempting to avoid injuries like ACL tears, the ability to get real-time input on measures like load and exhaustion is definitely revolutionary. These technologies are particularly interesting since they allow for the early identification of possible harm hazards through alarms and customized training modifications. I'm happy that you found the post inspiring and relatable; it's obvious that advancements like this have the potential to completely transform sports injury management.
DeleteDo you think AI will end up being a must-have for injury prevention in sports, or will some teams stick to more traditional approaches?
ReplyDeleteThat a great question! Even though AI technology is developing quickly and showing significant improvements in athlete performance and injury prevention, I believe that a number of factors, including team culture, money, and the sport itself, will determine whether or not it becomes a necessary tool. AI is more likely to be used into training and recuperation routines by high-budget teams and organizations. On the other hand, teams who are smaller or have more traditional training beliefs might continue to use conventional methods. But I think that AI will be used more widely at all levels of sports as it gets more affordable and available, becoming essential for both player care and competitive advantage.
DeleteUsing AI "the right way" I think is mostly positive. By identifying potential injuries before they occur, AI can help reduce serious injuries and extend athletes' careers. This is a positive part that AI can help with, I think it´s good that you use the technology when it exists.
ReplyDeleteOf course! Correct use of AI can have significant benefits, including as preventing injuries and prolonging athletes' careers by lowering the incidence of severe injuries. Sports medicine and training could change as a result of the proactive approach, in which AI assists in spotting any issues before they become serious. Knowing that a large number of people see the advantages of using technology to promote and improve athlete safety is comforting.
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