Prevent injuries using Artificial Intelligence and Machine Learning, shining examples from NFL and AWS!

The injury of a player can become critical to the team’s success, especially in the NFL. For this reason, teams are now looking for the most efficient ways to predict and prevent musculoskeletal injuries. In this situation, consulting an AI expert can become the key to success. The NFL has already realized that and agreed to a partnership with Amazon Web Services. AWS’s artificial intelligence and machine learning algorithms are now used to inform teams about the physical condition of the players.

In this article, we are discovering the ways in which an artificial intelligence system can contribute to the prevention of injuries.

01. Collection of data during training

The first step of the implementation of a machine learning algorithm in sports is to use it during the training of the players. Using sensors, the artificial intelligence system can track the activity of the every players’ muscles. These data can later be used to determine the special needs of every single player. Additionally, the system can determine the fatigue and stress levels of the players. Having a tool like this available, will not only help in injury prevention but also boost the players’ performance in general.

02. Personalized risk identification with the use of pattern recognition

Special sensors and pattern recognition can also be used in the NFL in order to spot any unnoticed injuries. Many players accumulate small injuries that hold the potential of creating huge problems in the future. However, if the teams are able to recognize these issues from the beginning, their treatment can be much simpler and easier. This way, the performance of the team will not be threatened by an unwanted injury during the game.

03. Suggest modifications to the coach for the field strategy

A sports match can get very competitive. It is fierce and requires a lot of energy and effort from the athletes. The coach and his team have a very demanding position, one that asks them to place the players in the correct positions and form a strategy to follow. An artificial intelligence system can become critical in this situation. This algorithm can suggest which players are at the top of their form and thus can perform the best, protecting at the same time all those who would be vulnerable to muscle injuries. Furthermore, it can analyze historical data and suggest a plan of action, which then can be used by the coach to form his own strategy.

04. Customization of the workout sessions

Having identified the special needs of every player, the machine learning system can suggest a workout session tailored for this specific player. The exercises will aim to strengthen the parts where the player’s body most needs it. Moreover, it will take into consideration the fatigue levels and so the player will not go far beyond his limits. This will ensure that on the day of the match he will be at the top of his game.

The sports industry is a sector that can benefit significantly from a digital transformation. The NFL is now taking advantage of AWS’s artificial intelligence systems to boost injury prevention.