Robótica en la medicina del futuro: tratamiento y rehabilitación

Autores/as

DOI:

https://doi.org/10.15649/2346075X.5708

Palabras clave:

Robótica, Rehabilitación post-ictus, Exoesqueletos, Inteligencia artificial, Neurorrehabilitación

Resumen

Introducción. La creciente demanda de rehabilitación eficaz posterior al ictus ha impulsado la incorporación de sistemas robóticos que integran inteligencia artificial y tecnologías sensoriales en la práctica clínica. Objetivo. Evaluar la efectividad de los sistemas robóticos en la rehabilitación de pacientes con ictus isquémico en clínicas de Ucrania. Materiales y métodos. Se realizó un estudio experimental controlado con 62 pacientes asignados aleatoriamente a un grupo control (fisioterapia convencional) y un grupo experimental (fisioterapia más terapia robótica asistida). Se emplearon exoesqueletos robóticos y simuladores con retroalimentación sensorial. Los resultados se evaluaron mediante la Fugl-Meyer Assessment (FMA), la prueba Timed Up and Go (TUG) y el 6-Minute Walk Test (6MWT). Algoritmos adaptativos ajustaron la intensidad del tratamiento según las necesidades individuales. Resultados. El grupo experimental presentó mayores mejoras respecto al control, con un aumento promedio de 6,63 puntos en la escala FMA, una reducción de 4,17 segundos en el TUG y un incremento de 44,47 metros en el 6MWT. Las diferencias fueron estadísticamente significativas (p < 0,05) y coherentes con la evidencia internacional que respalda la intervención temprana e intensiva. El tamaño muestral reducido y el corto seguimiento limitan la generalización. Conclusiones. La rehabilitación robótica mejora significativamente la función motora, la resistencia y la movilidad funcional tras el ictus. Se recomienda realizar estudios multicéntricos con seguimiento prolongado para estandarizar protocolos y evaluar la sostenibilidad de los resultados.

Referencias

1. Amirbekova M, Kispaeva T, Adomaviciene A, Eszhanova L, Bolshakova I, Ospanova Z. Systematic review and meta-analysis of effectiveness of robotic therapy in the recovery of motor functions after stroke. Front Hum Neurosci. 2025;19:1622661. https://doi.org/10.3389/fnhum.2025.1622661

2. Verola S, Ugolini A, Pellicciari L, Di Bari M, Paci M. Clinical relevance of the effects of robotic rehabilitation for upper limb recovery after stroke in randomized studies: a systematic review with meta-analysis. Arch Physiother. 2025;15:118-130. https://doi.org/10.33393/aop.2025.3209

3. Yang J, Zhu Y, Li H, Wang K, Li D, Qi Q. Effect of robotic exoskeleton training on lower limb function, activity and participation in stroke patients: a systematic review and meta-analysis of randomized controlled trials. Front Neurol. 2024;15:1453781. https://doi.org/10.3389/fneur.2024.1453781

4. Liu S, Chen F, Yin J, Wang G, Yang L. Comparative efficacy of robotic exoskeleton and conventional gait training in patients with spinal cord injury: a meta-analysis of randomized controlled trials. J Neuroeng Rehabil. 2025;22:121. https://doi.org/10.1186/s12984-025-01649-1

5. Lim JH, Kang EY, Park SJ, Kim BG. Effects of robot rehabilitation on the motor function and gait in children with cerebral palsy: a systematic review and meta-analysis. J Exerc Rehabil. 2024;20(3):92-99. https://doi.org/10.12965/jer.2448186.093

6. Cardone D, Perpetuini D, Di Nicola M, Merla A, Morone G, Ciancarelli I, et al. Robot-assisted upper limb therapy for personalized rehabilitation in children with cerebral palsy: a systematic review. Front Neurol. 2025;15:1499249. https://doi.org/10.3389/fneur.2024.1499249

7. Peramalaiah MK, Parmar ST, Sepehri N, Muthukumarana S, Kanitkar A, Hin CK, et al. Evaluation of a game-based mechatronic device for rehabilitation of hand-arm function in children with cerebral palsy: feasibility randomized controlled trial. JMIR Rehabil Assist Technol. 2025;12:e65358. https://doi.org/10.2196/65358

8. Amin F, Waris A, Iqbal J, Gilani SO, Ur Rehman MZ, Mushtaq S, et al. Maximizing stroke recovery with advanced technologies: a comprehensive assessment of robot-assisted, EMG-controlled robotics, virtual reality, and mirror therapy interventions. Results Eng. 2024;21:101725. https://doi.org/10.1016/j.rineng.2023.101725

9. Aprile IG, Quaglini S, Turchetti G, Pecchia L, Comandè G, Gramatica F, et al.; Fit4MedRob Initiative Group. Rehabilitation robotics and allied digital technologies: opportunities, barriers and solutions for improving their clinical implementation. Front Robot AI. 2025;12:1531067. https://doi.org/10.3389/frobt.2025.1531067

10. Kooij H, Asseldonk EH, Sartori M, Basla C, Esser A, Riner R. AI in therapeutic and assistive exoskeletons and exosuits: influences on performance and autonomy. Sci Robot. 2025;10(104):eadt7329. https://doi.org/10.1126/scirobotics.adt7329

11. Banyai AD, Brișan C. Robotics in physical rehabilitation: systematic review. Healthcare (Basel). 2024;12(17):1720. https://doi.org/10.3390/healthcare12171720

12. Boardsworth K, Rashid U, Olsen S, Rodriguez-Ramirez E, Browne W, Alder G, et al. Upper limb robotic rehabilitation following stroke: a systematic review and meta-analysis investigating efficacy and the influence of device features and program parameters. J Neuroeng Rehabil. 2025;22:164. https://doi.org/10.1186/s12984-025-01662-4

13. Tay SS, Zhang F, Visperas CA, Koh XH, Lau B, Neo JRE. Robot-mediated impairment-oriented and task-specific training on upper limb post stroke: feasibility and preliminary effects on physical function and quality of life. Front Neurol. 2024;15:1415773. https://doi.org/10.3389/fneur.2024.1415773

14. Germanotta M, Mauro MC, Falchini F, Scotto Di Luzio F, Vollero L, Zollo L, et al. A robotic rehabilitation intervention in a home setting during the COVID-19 outbreak: a feasibility pilot study in patients with stroke. J Neuroeng Rehabil. 2025;22(1):93. https://doi.org/10.1186/s12984-025-01633-9

15. Fasano A, Mauro MC, Beani E, Nicora G, Germanotta M, Falchini F, et al. Towards the identification of patients' needs for promoting robotics and allied digital technologies in rehabilitation: a systematic review. Healthcare (Basel). 2025;13(7):828. https://doi.org/10.3390/healthcare13070828

16. Diaz FH, Borrás Pinilla C, García Cena CE. Exploring robotic technologies for upper limb rehabilitation: current status and future directions. J Sens Actuator Netw. 2025;14(3):48. https://doi.org/10.3390/jsan14030048

17. Liu H, Xie Q. Applications of artificial intelligence in rehabilitation: technological innovation and transformation of clinical practice. SLAS Technology. 2025;35:100360. https://doi.org/10.1016/j.slast.2025.100360

18. Khan MMR, Zarif MII, Pillai A, Wang I, Rahman MH. Investigating a Telerehabilitation Platform Integrated With a Rehabilitation Robot Using Microsoft HoloLens 2 for Upper-Limb Therapy: Pilot Usability Study. JMIR rehabilitation and assistive technologies. 2025;12:e75907. https://doi.org/10.2196/75907

19. Solares L, Llana T, García-Navarra S, Mendez M. Advances in Virtual Reality-Based Physical Rehabilitation for Neurodegenerative Diseases: A Systematic Review. Applied Sciences. 2025;15(18):9903. https://doi.org/10.3390/app15189903

20. Halabitska I, Babinets L, Kotsaba Y. Pathogenetic features of comorbidity of primary osteoarthritis and diseases with exocrine pancreatic insufficiency. Georgian medical news. 2021;321(12):57-62.

21. Babinets LS, Halabitska IM. Characteristics of joint pain in patients with primary osteoarthritis and comorbid conditions with exocrine pancreatic insufficiency. Lekarsky Obzor. 2021;70(2):62-4.

22. Bumbea A-M, Glavan DG, Vasile R-C, Rotaru-Zavaleanu AD, Greșiță A, Surugiu R, et al. Cognitive Impairment and Psychological Morbidity Among Stroke Survivors in Rehabilitation: A Cross-Sectional Analysis. Journal of Clinical Medicine. 2025;14(21):7735. https://doi.org/10.3390/jcm14217735

23. Li X, He Y, Wang D, Rezaei MJ. Stroke rehabilitation: from diagnosis to therapy. Frontiers in neurology. 2024;15:1402729. https://doi.org/10.3389/fneur.2024.1402729

24. Babinets LS, Halabitska IM, Kotsaba YY, Borovyk IO, Migenko BO, Ryabokon SS, et al. The effect of the proteolisis' system activity for the trophological status of patients with osteoarthrosis and excretory insufficiency of pancreas. Wiadomosci lekarskie (Warsaw, Poland : 1960). 2018;71(2 pt 1):273-6.

25. Wang H, Shen H, Han Y, Zhou W, Wang J. Effect of robot-assisted training for lower limb rehabilitation on lower limb function in stroke patients: a systematic review and meta-analysis. Front Hum Neurosci. 2025;Early view. https://doi.org/10.3389/fnhum.2025.1549379

26. Park JM, Park GY, Chang WH. Effects of robot-assisted therapy for upper limb rehabilitation after stroke. Stroke. 2025;56(3):540-549. https://doi.org/10.1161/STROKEAHA.124.048183

27. Pavan A, Franchi M, Gili A, Della Volpe A, D'Avella A, Conti S, et al. Implementation of a robot-mediated upper limb rehabilitation protocol based on clinical assessment for customized therapy. NeuroRehabilitation. 2024;Advance online publication. https://doi.org/10.3233/NRE-230367

28. Ding Y, Wang Z, Yang P, Yu S. ChMER: an exoskeleton robot with active body weight support walker based on compliant actuation for children with cerebral palsy. Front Bioeng Biotechnol. 2025;13:1551039. https://doi.org/10.3389/fbioe.2025.1551039

29. Vaida C, Rus G, Pisla D. A sensor-based classification for neuromotor robot-assisted rehabilitation. Bioengineering (Basel). 2025;12(3):287. https://doi.org/10.3390/bioengineering12030287

30. Thawisuk C, Apichai S, Chingchit W, Dhippayom JP, Dhippayom T. Effectiveness of robot-assisted upper extremity function training (Gloreha) on upper extremities function after stroke: systematic review. JMIR Rehabil Assist Technol. 2025;12:e68268. https://doi.org/10.2196/68268

31. Ahn SY, Bok SK, Lee JY, Ryoo HW, Lee HY, Park HJ, et al. Benefits of robot-assisted upper-limb rehabilitation from the subacute stage after a stroke of varying severity: a multicenter randomized controlled trial. J Clin Med. 2024;13(3):808. https://doi.org/10.3390/jcm13030808

32. Kóra S, Bíró A, Prontvai N, Androsics M, Drotár I, Prukner P, et al. Investigation of the effectiveness of the robotic ReStore soft exoskeleton in the development of early mobilization, walking, and coordination of stroke patients: a randomized clinical trial. Robotics. 2024;13(3):44. https://doi.org/10.3390/robotics13030044

33. Halabitska I, Oksenych V, Kamyshnyi O. Exploring the Efficacy of Alpha-Lipoic Acid in Comorbid Osteoarthritis and Type 2 Diabetes Mellitus. Nutrients. 2024;16(19). https://doi.org/10.3390/nu16193349

34. Wang H, Wu X, Li Y, Yu S. Efficacy of robot-assisted training on upper limb motor function after stroke: a systematic review and network meta-analysis. Arch Rehabil Res Clin Transl. 2025;7(1):100387. https://doi.org/10.1016/j.arrct.2024.100387

35. Halabitska I, Petakh P, Oksenych V, Kamyshnyi O. Predictive analysis of osteoarthritis and chronic pancreatitis comorbidity: complications and risk factors. Frontiers in endocrinology. 2024;15:1492741. https://doi.org/10.3389/fendo.2024.1492741

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Publicado

2026-03-27

Cómo citar

Mezentseva, I., Pavlovych , . O., Patiei , P., Yarlykova , V., & Savchuk , . I. . (2026). Robótica en la medicina del futuro: tratamiento y rehabilitación. Innovaciencia, 14(1). https://doi.org/10.15649/2346075X.5708

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