Bibliometrics of using artificial intelligence and related technologies in the rehabilitation of brain vascular injuries

Introduction: Bibliometric of using artificial intelligence and related technologies in the rehabilitationof brain vascular injuries. Artificial intelligence (AI) is a term used to describe the use ofcomputers and technology to simulate intelligent behavior and critical thinking comparable to ahuman. Artificial intelligence has revolutionized medical technologies. Artificial intelligence inmedicine is the use of machine learning models to search medical data and discover insights tohelp improve health outcomes and patient experiences. The use of this technology in the rehabilitationof patients with stroke and vascular brain injuries is known. This technology helps in variousaspects from prevention to treatment, rehabilitation, and predicting the outcome of diseasesMethodology: This study is a bibliographic study that aims to investigate the role of artificial intelligencetechnology in this matter of all search processes continued by search engines and usingthe software Carrot۲ search results clustering engine by Classification of various articles.Search strategies followed by keywords of artificial intelligence & related technologies & rehabilitation& brain vascular injury patients.Keywords were combined with and without search quotes using Boolean operators ‘AND’ and‘OR’, and if needed, wildcard star ‘*’ was used to expand the search; Also, topic search usingmesh was used as a search standard. The search engine search and classification of articles examinesand classifies all valid databases and search engines in the subject area field. After reviewingeach article in the related field, the articles that fulfill the criteria of Prisma in the search are consideredto enter into the review.Results: The related articles were searched in full and then by classifying them into three sections,the use of technology by clinical doctors, use in patients and the type of technology used,the results were analyzedThe results showed that the use of technology in the group of clinical doctors includes: improvingmovement capabilities, improving daily activities, improving body movement in the upper andlower body, walking faster, improving the mental level and improving it, observing Patients’ activitiesand their movement improvement, increasing daily capabilities, sensory return of organs,walking without assistance, control games, motor function rehabilitation, prediction of functionreturn, examination of patients’ prognosis, prediction of mortality rate, diagnosis, and preventionIt is used from brain injuries, neurological ability, personalization of abilities and their rehabilitation.In the field of patients: using virtual reality smart games for motor skills at home, improving selfcarethrough smart platforms, daily monitoring, self-management and personal affairs, monitoringthe improvement rate, and psychotherapy with games are used.Articles related to the type of technologies used related to artificial intelligence also show that thesetechnologies include the following: Brain-computer interface, socially assistive robots, Wearableaccelerometers in free-living environments, Machine Learning for Motor Imagery Wrist DorsiflexionPrediction, Machine learning, Computational intelligence, and game design, Patternsbased on the spatiotemporal and adaptive filtering methods, An intelligent game engine, Wearablesensors for stroke rehabilitation, Soft actuators for stroke rehabilitation using deep learning,An Artificial Neural Network Algorithm, a fuzzy logic-based intelligent system for autonomous guidance, rehabilitation robotics, smart wearable armband, and machine learning, Matching incompletetime series with dynamic time warping: Virtual reality, haptics, and modern sensingtechnique (VHS), Artificial intelligence-based wearable robotic exoskeletons.Conclusion: The use of artificial intelligence technology in the rehabilitation of chronic diseases,including vascular injuries of the brain, can help doctors and patients to reduce the negativeeffects of the disease, and help the ability and early return of patients by improving their movementstatus. It also improves therapeutic mechanisms by predicting, observing, and monitoringpatients.

کلیدواژه ها:

Bibliometrics ، artificial intelligence ، rehabilitation ، cerebra vascular injuries