Artificial intelligence (AI) is increasingly influencing how orthodontic care is delivered across the globe. Systems capable of identifying cephalometric landmarks, predicting growth patterns, assisting with aligner staging, and simulating treatment outcomes are becoming part of everyday clinical workflows.[1,2] These developments promise greater efficiency and analytical consistency. At the same time, their growing presence in clinical decision-making introduces new ethical considerations that the profession must address thoughtfully.

The implications of AI in orthodontics extend beyond technical performance and raise broader questions about responsibility, transparency, data stewardship, fairness, and the preservation of patient-centered care and patient trust.[3] The central challenge facing orthodontists is therefore not whether these technologies should be used, but how they can be incorporated into practice in a responsible and ethically grounded manner.

ACCOUNTABILITY IN THE AGE OF ALGORITHMIC SUPPORT

Conventionally, orthodontic practice has operated within a clear framework of professional responsibility: Diagnostic interpretation and treatment decisions ultimately belong to the clinician. AI-supported tools introduce a different dynamic. Machine-learning models may generate recommendations based on patterns identified within large datasets, yet the reasoning behind these outputs is not always visible to the user. In some cases, such systems operate as “black-box” models, where the internal decision processes remain difficult for clinicians to interpret.[4]

When such systems influence treatment planning, important questions arise regarding responsibility. If an AI-generated recommendation contributes to an unfavorable outcome, determining where accountability lies becomes complex. Should responsibility rest with the clinician who applied the recommendation, the developer who designed the system, or the organization that implemented it? Current medicolegal structures in many healthcare settings were developed for human decision-making and are still adapting to the challenges posed by AI-assisted care.[5]

Until regulatory frameworks evolve further, one principle remains fundamental: The orthodontist retains ultimate responsibility for patient care. AI outputs should therefore be treated as advisory inputs rather than definitive clinical instructions.[4] Careful evaluation of algorithmic suggestions, appropriate documentation of clinical reasoning, and open communication with patients remain essential safeguards as digital technologies become more deeply integrated into orthodontic practice.

ALGORITHMIC BIAS AND THE LIMITS OF STANDARDISATION

AI systems inevitably reflect the data used to train them. When datasets are limited in diversity or contain imbalances, algorithmic predictions may unintentionally reproduce those limitations.[6] In orthodontics, where craniofacial morphology and skeletal relationships vary across populations, insufficient representation of certain groups may affect diagnostic interpretation or influence treatment recommendations.[7]

Beyond demographic considerations, another limitation arises from the inherently individual nature of orthodontic care. Biological response to orthodontic forces, growth potential, periodontal health, pain tolerance, compliance behavior, and psychosocial circumstances vary considerably among patients. Algorithms that rely on aggregated patterns cannot fully capture this level of individual variability.[8]

For this reason, AI tools should complement – not replace – clinical judgment. The orthodontist’s role in interpreting patient-specific factors remains indispensable. Integrating algorithmic insights with comprehensive clinical assessment ensures that treatment decisions remain tailored to the needs of each individual patient.

DATA PRIVACY AND GOVERNANCE IN DIGITAL ORTHODONTICS

The expansion of AI-supported orthodontic care is closely linked to the increasing use of digital records, imaging systems, and longitudinal patient datasets. While digital workflows improve accessibility and analytical capability, they also pose important challenges regarding confidentiality, data security, and responsible data use.[6]

In many healthcare systems, policies governing dental data protection are still evolving as digital technologies advance. Adhering to established data protection regulations, while also aligning with widely recognized international standards, provides an important safeguard for protecting patient information.[9] Equally important is maintaining transparency in how patient data are collected, stored, and used. Responsible data stewardship plays a critical role in sustaining patient trust – an essential element in long-term orthodontic care.

Professional bodies and regulatory institutions can support this process by developing guidance that promotes transparency, encourages bias mitigation, and reinforces clinician oversight. Ethical governance should anticipate emerging challenges rather than simply responding to them after problems occur.

PRESERVING THE HUMAN DIMENSION OF ORTHODONTIC CARE

While many ethical discussions about AI focus on technical or legal concerns, the most significant implications may be relational. Orthodontic treatment is inherently long-term and relies heavily on patient engagement. Motivation, adherence to treatment instructions, and satisfaction with care are strongly influenced by the quality of interaction between clinician and patient.

Although AI systems may assist with diagnostic analysis or treatment planning, they cannot replicate the human elements that shape the therapeutic relationship. Subtle cues – such as anxiety in a child’s behavior, hesitation in a patient’s voice, or concerns expressed during consultation – require empathy and interpersonal understanding that algorithms cannot provide.[10]

As orthodontic technologies become more sophisticated, there is a risk that excessive reliance on automated systems could gradually distance clinicians from the relational aspects of care. Ethical integration of AI therefore requires preserving the human connection that underpins successful orthodontic treatment. Technology should enhance clinical interaction, not replace it.

TOWARD RESPONSIBLE INTEGRATION

Looking ahead, the future of orthodontics will depend not on the autonomy of algorithms but on the ability of clinicians to integrate intelligent technologies within a responsible professional framework. A structured decision pathway may assist clinicians in evaluating AI-generated recommendations while maintaining accountability, transparency, and patient-centered care [Figure 1]. Achieving this balance will require transparent system development, continuous validation of AI tools across diverse populations, and governance structures that reinforce clinician oversight and professional responsibility.

Figure 1: Clinician-led ethical decision pathway for the integration of artificial intelligence in orthodontic practice.

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AI offers powerful opportunities to refine diagnostic processes and support treatment planning. However, these advances must be accompanied by equally strong attention to ethical responsibility. Orthodontists occupy a central role in ensuring that technological innovation remains aligned with the principles of patient-centered care.

Rather than replacing clinical judgment, AI should function as a tool that supports and informs the orthodontist’s decisions. When guided by accountability, fairness, and empathy, AI can contribute meaningfully to both the scientific advancement and the human dimension of orthodontic practice.