Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention

Abstract

With the development of artificial intelligence technology in the medical field, clinical trials using artificial intelligence as an intervention method are constantly emerging. This article mainly introduces the intervention of artificial intelligence and emotional intelligence on the rehabilitation of athletes’ muscle strains. Among them, artificial intelligence and emotional intelligence are a brand-new nursing intervention method. This article compares conventional rehabilitation therapy with these two new types of intelligent interventions to explore the effects of artificial intelligence intervention and emotional intelligence intervention in the rehabilitation of athletes. The experimental results show that the average number of muscle restrains under the intervention of artificial intelligence is 4.1 times, the average restrain rate of muscles is 27.7%, and the average recovery degree of athletes is 94.7%. The average SPB score under emotional intelligence intervention was 56 points. Artificial intelligence interventions can enhance rehabilitation through advanced technology, and emotional intelligence interventions can provide emotional support to effectively improve treatment outcomes and quality of life.

Artificial intelligence and rehabilitation: what’s new and promising

“…In the meantime, and in the mental health sphere, where there is a great need, AI has been conceived as having the potential to provide more fruitful diagnostic insights and therapeutic opportunities than has been the case to date. One idea proposed in this regard by Qiao et al, 20 is to combine AI and the idea of emotional intelligence to foster nursing related mental and physical health care. Tested in the context of athletes the authors found AI interventions could be applied successfully to enhance or yield better treatment outcomes and quality of life than not.…”

Hamstring Injuries: A Paradigm for Return to Play

“…21 Other classification systems often incorporate a combination of these systems, including mechanism of injury, anatomical location based on MRI and US features, clinical presentation, and even recently the use of artificial intelligence (AI) to enhance prognostic value and improve diagnosis, management, and evaluation for return to competition. 22 In 2016, an expert consensus group developed a new classification system for muscle injuries, focusing specifically on hamstring injuries. 23 This system has four main categories: mechanism of injury (M), location of injury (L), grading of severity (G), and number of muscle reinjuries (R), abbreviated as MLG-R.…”

“…Other classification systems often incorporate a combination of these systems, including mechanism of injury, anatomical location based on MRI and US features, clinical presentation, and even recently the use of artificial intelligence (AI) to enhance prognostic value and improve diagnosis, management, and evaluation for return to competition. 22…”

Retracted: Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”