Background: Artificial neural network helps humans in a wide range of activities, such as sports. Objective: This paper aims to investigate the effect of artificial intelligence on decision-making related to human gait and sports biomechanics, using computer-based software, and to investigate the impact of artificial intelligence on individuals’ biomechanics during gait and sports performance. Material and Methods: This review was conducted in compliance with the PRISMA guidelines. Abstracts and citations were identified through a search based on Science Direct, Google Scholar, PubMed, Elsevier, Springer Link, Web of Science, and Scopus search engines from 1995 up to 2023 to obtain relevant literature about the impact of artificial intelligence on biomechanics. A total of 1000 articles were found related to biomechanical characteristics of gait and sport and 26 articles were directly pertinent to the subject. Results: The extent of the application of artificial intelligence in sports biomechanics in various fields. In addition, various variables in the fields of kinematics, kinetics, and the field of time can be investigated based on artificial intelligence. Conventional computational techniques are limited by the inability to process data in its raw form. Artificial Intelligence (AI) and Machine Learning (ML) techniques can handle complex and high-dimensional data. Conclusion: The utilization of specialized systems and neural networks in gait analysis has shown great potential in sports performance analysis. Integrating AI into this field would be a significant advancement in sport biomechanics. Coaches and athletes can develop more precise training regimens with specialized performance prediction models.

Background: This study examined the relationships between impulse and kinetic variables during jumping and landing in elite young male volleyball players. Methodology: Eighteen players were recruited and asked to jump on a force plate, which allowed for the direct extraction of jump and landing kinetic data. The data was then analysed using stepwise regression to explore the relationship between landing impulse and various kinetic variables. Results: Our findings revealed a significant positive relationship between the peak rate of force development concentric (PRFD _CON) and impulse at landing (β = 0.537, p = 0.02). In a secondary analysis, we found that PRFD _CON (β = 0.497, p = 0.01) and time to peak power concentric (TPPC) (β = 0.424, p = 0.04) were also positively correlated with landing impulse. Importantly, PRFD _CON and TPPC were the variables that had the most muscular predictive power for impulse at landing. Conclusion: These findings offer crucial insights into the biomechanics of jumping and landing in elite young male volleyball players, informing the development of more effective training programs. Our study identifies PRFD _CON and TPPC as critical factors for improving landing impulse, emphasizing the need to consider multiple kinetic variables when designing training programs for explosive skills. These insights can help optimize performance and reduce the risk of injury in elite young male volleyball players.

Background: Deviation of the foot from the normal posture affects the function of the foot and lower limb and causes lower limb injuries in normal people and athletes. Flat feet or flatfoot deformity are usually associated with pain in the foot area and a decrease in the normal function of the foot, which can negatively affect the sports ability of athletes. Therefore, we aimed to investigate the abnormality of flat feet from training, exercise to therapeutic interventions. Methods: Articles were identified by searching five databases: PubMed, Scopus, Google Scholar, Science Direct, and Gate & Pasteur from 2000 to 2022. The keywords were selected specifically and correctly and all the researches and articles related to the title of the article were searched and found. This research was also searched in Persian databases that this database, included: Irandoc, Mag Iran and Noormagz. Results: Finally, 30 studies met the criteria for entering this study, selected and used to conduct this study. Conclusion: By using the results obtained in the research, which include corrective exercises and therapeutic interventions, especially the use of orthoses and various medical insoles, it is possible to help in the treatment and improvement of this anomaly.

Objective This study examines the impact of fatigue on kinetic variables during landing after performing a spike in professional volleyball players. Fatigue can significantly affect athletic performance and increase the risk of lower limb injuries, particularly in movements that require precise landings. Methods In this study, 28 professional volleyball players performed ...

Context: Aging is associated with extensive changes in physiological and biomechanical factors, such as reduction of muscle function. Identifying and controlling the negative effects caused by these changes can help improve the quality of life of the elderly and reduce treatment costs. The objective of this research is to investigate the biomechanical changes of gates among elderly people. Methods: All full-text articles with the keywords including elderly and walking, gait, aging, and geriatrics were considered. Data collection was done using a "Data Extraction Form" which was designed based on the purpose of the research. Articles were searched in reliable databases such as Mendeley PubMed, Science Direct, PubMed, Scopus, Google Scholar SpringerLink, and SID by searching keywords. At first, 1985 articles regarding biomechanical parameters of walking were found. Finally, 12 articles were directly related to the topic. Results: The results of our studies showed that changes would occur in both kinetics and walking kinematics in old age due to the lack of neuromuscular and skeletal capacity and weakness in aspects of balance, coordination, and posture control. The elderly tend to perform compensatory strategies and altered movement patterns in gait, which lead to some changes in kinematic and kinetic characteristics. Conclusions: Prevention, reduction, and treatment of movement disorders require timely diagnosis. Therefore, researches in the area of walking the elderly and assessing their risk of falling, and understanding how much age-related decline can be tolerated before creating movement restrictions are key factors.