الملخص

The rapid development of artificial intelligence (AI) technologies has significantly influenced multiple disciplines, including healthcare and medical rehabilitation. While AI presents substantial opportunities, it simultaneously introduces complex ethical challenges. This study examines how AI-driven rehabilitation—encompassing robotic support, predictive analytics, virtual therapies, and personalized interventions—shapes the human perspective of tolerance within healthcare systems.

AI technologies offer considerable potential to enhance precision, accessibility, and personalization in medical rehabilitation. However, their effectiveness depends on the cultural, social, and ethical frameworks that govern patient–technology interactions and ensure secure, inclusive healthcare environments.

A comprehensive literature review was conducted across rehabilitation medicine, digital health, and AI ethics. Drawing on these findings, the study positions tolerance as a critical analytical lens for inclusive healthcare, emphasizing respect for individual and cultural diversity, preservation of patient dignity, and acceptance of human–machine collaboration. It argues that tolerance functions not only as a moral principle but also as an operational factor in therapeutic processes, contributing to improved psychological outcomes, reduced patient stress, and enhanced overall well-being.

Simultaneously, the study identifies risks of bias and dehumanization if tolerance is not embedded in AI design and implementation, highlighting the need to balance computational efficiency with ethical and emotional intelligence. The findings align with frameworks developed by UNESCO and the World Health Organization, as well as Sustainable Development Goal 3 (Health and Well-Being).

Finally, the paper proposes a theoretical model integrating AI capabilities with tolerance to achieve effective rehabilitation outcomes, alongside policy recommendations, training programs, and ethical design principles to support inclusive and human-centered healthcare systems.