Application of artificial intelligence in prescribing exercise programs for patients

Subject Areas :

Gholamhasan Jafarzadeh ^{1 *} , Mehdi Mashayekhi ²

1 -
2 - Computer Engineering Student of Khatam Alanbiya University of Technology

Received: 2025-02-14 Accepted : 2025-06-21 Published : 2025-06-28

Keywords: Artificial intelligence, exercise program, patients .,

Abstract :

The present study deals with the application of artificial intelligence in prescribing exercise programs for treating patients. The research used a review and research approach with a library research method, which, by studying and reviewing articles, library and online resources on the Google Scholar site, Ganj system and similar cases, showed the following results: In the application of artificial intelligence to prescribe exercise programs for treating patients, the design of the exercise program must be done carefully and based on the individual needs of the patients. These programs can include specific exercises that are adjusted according to the patient's physical condition, medical history and goals. The use of diverse and comprehensive data, such as medical information, test results and even data related to daily activities, helps artificial intelligence models identify specific patterns and provide accurate suggestions. The safety of the proposed exercise programs is also of great importance. Algorithms must be designed in a way that minimizes the risk of injury and updates the programs based on the patient's health status. This requires accurate and continuous assessments of patient progress and response to exercise. In this regard, there are several challenges. One of these challenges is related to the collection and analysis of valid data. Also, ethical issues such as the privacy of patient information and liability for possible model errors must be considered. These challenges require careful attention and consideration in order to achieve effective and safe results in prescribing exercise programs.

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