Literature Review Critique: Machine Translation Applications…

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The body of literature assessed for this study delivers an extensive evaluation of AI-enabled machine translation (MT) tools and their utilization in healthcare communication, particularly within multilingual hospital settings. The reviewed works encompass the historical progression of machine translation, the interaction of users with AI translation tools, ethical and legal implications, and particular challenges encountered in clinical environments.

The choice to categorize sources based on themes like technological advancement, user experience, healthcare-centric challenges, and ethical/legal issues illustrates the intricate, interdisciplinary nature of this inquiry. Historical patterns provide essential insights into the evolution of MT, while conceptual frameworks such as mobility theory and AI ethics anchor the discussion in contemporary academic discourse. Significant debates revolve around translation precision, patient safety, and adherence to regulations, all of which hold paramount importance in healthcare environments.

By organizing the literature into thematic categories, the review effectively constructs an argument that accentuates the potential and constraints of AI translation tools, identifying deficiencies specifically in clinical validation and their assimilation into practical hospital operations. This structure lays the groundwork for exploring how AI translation might be refined to overcome communication obstacles and enhance patient care in multilingual contexts