The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation
If you want to fully understand the ecosystem surrounding AI-driven robotics in pediatric neurorehabilitation, you need to carefully look at many interconnected aspects and think critically about what they mean. We address this review to facilitate an in-depth analysis of the effective integration...
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| Format: | Article |
| Language: | English |
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Department of Electrical Engineering Education, Faculty of Engineering, State University of Manado
2025-02-01
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| Series: | Jurnal Edunitro |
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| Online Access: | https://ejurnal.unima.ac.id/index.php/edunitro/article/view/10517 |
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| author | Tole Sutikno Lina Handayani |
| author_facet | Tole Sutikno Lina Handayani |
| author_sort | Tole Sutikno |
| collection | DOAJ |
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If you want to fully understand the ecosystem surrounding AI-driven robotics in pediatric neurorehabilitation, you need to carefully look at many interconnected aspects and think critically about what they mean. We address this review to facilitate an in-depth analysis of the effective integration of advanced technologies, such as artificial emotional intelligence and interactive reinforcement learning, into rehabilitation practices. By critically assessing each element, from the psychological dynamics of patient engagement to the technical intricacies of real-time adaptive learning systems, we can better understand their pivotal roles in enhancing therapeutic efficacy. Moreover, the inclusion of natural language processing and facial expression analysis warrants careful consideration, as it sets the stage for more nuanced interactions between robots and pediatric patients, thereby fostering a therapeutic environment that is both responsive and empathetic. A thorough examination not only highlights the potential benefits but also the ethical and practical challenges associated with these technologies. By putting these different parts into a critical framework, we ensure that we have a complete picture of the opportunities and limitations in this new field. Our ultimate goal is to improve rehabilitation outcomes for kids with neurological problems while keeping an eye out for any unintended effects.
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| format | Article |
| id | doaj-art-1f8516641bc34abdb557be0ce4491f2b |
| institution | Kabale University |
| issn | 2776-2920 2776-284X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Department of Electrical Engineering Education, Faculty of Engineering, State University of Manado |
| record_format | Article |
| series | Jurnal Edunitro |
| spelling | doaj-art-1f8516641bc34abdb557be0ce4491f2b2025-02-12T01:14:41ZengDepartment of Electrical Engineering Education, Faculty of Engineering, State University of ManadoJurnal Edunitro2776-29202776-284X2025-02-015110.53682/edunitro.v5i1.10517The Ecosystem of AI-Driven Robotics in Pediatric NeurorehabilitationTole Sutikno0Lina Handayani1Ahmad Dahlan UniversityAhmad Dahlan University If you want to fully understand the ecosystem surrounding AI-driven robotics in pediatric neurorehabilitation, you need to carefully look at many interconnected aspects and think critically about what they mean. We address this review to facilitate an in-depth analysis of the effective integration of advanced technologies, such as artificial emotional intelligence and interactive reinforcement learning, into rehabilitation practices. By critically assessing each element, from the psychological dynamics of patient engagement to the technical intricacies of real-time adaptive learning systems, we can better understand their pivotal roles in enhancing therapeutic efficacy. Moreover, the inclusion of natural language processing and facial expression analysis warrants careful consideration, as it sets the stage for more nuanced interactions between robots and pediatric patients, thereby fostering a therapeutic environment that is both responsive and empathetic. A thorough examination not only highlights the potential benefits but also the ethical and practical challenges associated with these technologies. By putting these different parts into a critical framework, we ensure that we have a complete picture of the opportunities and limitations in this new field. Our ultimate goal is to improve rehabilitation outcomes for kids with neurological problems while keeping an eye out for any unintended effects. https://ejurnal.unima.ac.id/index.php/edunitro/article/view/10517AI-driven roboticspediatricneurorehabilitationartificial intelligencetherapeuticrehabilitation |
| spellingShingle | Tole Sutikno Lina Handayani The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation Jurnal Edunitro AI-driven robotics pediatric neurorehabilitation artificial intelligence therapeutic rehabilitation |
| title | The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation |
| title_full | The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation |
| title_fullStr | The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation |
| title_full_unstemmed | The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation |
| title_short | The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation |
| title_sort | ecosystem of ai driven robotics in pediatric neurorehabilitation |
| topic | AI-driven robotics pediatric neurorehabilitation artificial intelligence therapeutic rehabilitation |
| url | https://ejurnal.unima.ac.id/index.php/edunitro/article/view/10517 |
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