Rapid advancements in artificial intelligence are revolutionizing orthodontics, delivering faster, more precise diagnostic insights and improving long-term clinical results.

When AI recommendations guide irreversible clinical actions, we must confront the ethical implications of delegating medical judgment to machines.

When an AI’s recommendation leads to unintended consequences, does liability rest with the developer, the clinician, or the institution deploying the technology?

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

When algorithms prioritize efficiency over individuality, we risk sacrificing personalized care for the illusion of precision.

When a patient is told, "The AI says your teeth must move this way," but no one can explain why, trust in the profession begins to erode.

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

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

AI systems learn from historical datasets, which often overrepresent certain populations—typically younger, wealthier, or ethnically homogeneous groups.

Developers and clinicians must collaborate to diversify datasets and rigorously test AI performance across age, gender, ethnicity, and socioeconomic lines.

Is the orthodontist responsible for approving it? The software company for building it? The hospital for 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.

Technology should enhance, not replace, the human touch that makes orthodontics transformative.

The future of orthodontics lies not in machines making decisions, but in skilled professionals using AI wisely, responsibly, and compassionately.