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Ethical Challenges in AI-Based Orthodontic Decision-Making

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작성자 Johanna Thurman 댓글 0건 조회 9회 작성일 25-10-09 21:58

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The adoption of artificial intelligence in orthodontics is accelerating rapidly, enabling quicker diagnoses, highly accurate treatment planning, and enhanced patient outcomes.


But as these systems assume greater influence over clinical choices, profound ethical dilemmas emerge.


Who bears responsibility when an AI-generated treatment plan results in complications or adverse outcomes?


Without transparency into the model’s reasoning, patient consent risks becoming a formality rather than a genuine ethical agreement.


Could overreliance on algorithms lead to homogenized treatment models that fail to account for unique anatomical, behavioral, or psychological factors?


One of the most pressing concerns is the lack of transparency in AI decision-making.


Patients deserve to know the evidence, the logic, and the limitations guiding their treatment.


Orthodontists must be equipped to interpret, question, and validate every AI recommendation before applying it clinically.


This can perpetuate systemic inequities, where marginalized individuals receive suboptimal or harmful interventions due to biased algorithms.


Without deliberate efforts to broaden representation, AI risks becoming a tool of discrimination rather than democratization.


Is the orthodontist responsible for approving it? The software company for building it? The hospital for ارتودنسی_شفاف deploying it without safeguards?


Orthodontic care is about more than straight teeth—it’s about restoring confidence, improving speech, enhancing self-image, and fostering long-term trust.


The warmth of a reassuring smile, the patience to answer a worried question, the intuition to adjust a plan based on a patient’s anxiety—these cannot be coded.


Its purpose is not to supplant the orthodontist, but to amplify their expertise with precision, speed, and insight.

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