What question did this study set out to answer?

The central aim is to evaluate the risks and functionality of AI-based translations in healthcare contexts, particularly English–Arabic interactions.

February 14, 2026Open Access

Risks and Functional Limitations of AI-Based Machine Translation in English–Arabic Healthcare Communication: A Conceptual Research Note

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The central aim is to evaluate the risks and functionality of AI-based translations in healthcare contexts, particularly English–Arabic interactions.
Developed a risk-oriented analytical framework for assessment
Focused on terminological accuracy and pragmatic adequacy
Examined communicative safety in high-stakes medical contexts
Identified key risks in AI translations affecting healthcare communication
Highlighted the importance of accurate terminology for patient safety
Emphasized the need for pragmatic adequacy in medical interactions

Implication

Conceptual research note develops a framework for assessing AI translation safety in healthcare, indicating potential communication risks.

Abstract

This research note develops a risk-oriented analytical framework for evaluating AI-generated English–Arabic healthcare translation, focusing on terminological accuracy, pragmatic adequacy, and communicative safety in high-stakes medical contexts

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Cite This Study

YOUSEF IBRAHIM BARJAS ALTA'ANY (2026) studied this question.

synapsesocial.com/papers/699011b32ccff479cfe58922 https://doi.org/10.5281/zenodo.18616380

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Implication

Conceptual research note develops a framework for assessing AI translation safety in healthcare, indicating potential communication risks.

Risks and Functional Limitations of AI-Based Machine Translation in English–Arabic Healthcare Communication: A Conceptual Research Note

Key Points

Implication

Abstract

Discussion

Cite This Study

Risks and Functional Limitations of AI-Based Machine Translation in English–Arabic Healthcare Communication: A Conceptual Research Note

Key Points

Implication

Abstract

Discussion

Cite This Study

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