ASSOCIATION BETWEEN AI-BASED TREATMENT PLANNING TOOLS AND PSYCHOSOCIAL SATISFACTION IN ORTHODONTIC PATIENTS: A CROSS SECTIONAL STUDY

Main Article Content

Nadia Inayat Khan
Syeda Rimsha Ahmad
Romesa Zafar
Aden Aamir
Muhammad Abdullah

Abstract

Background: The integration of artificial intelligence (AI) in orthodontic treatment planning, particularly through digital aligner systems, has introduced new possibilities for enhancing both clinical outcomes and patient-centered care. However, limited research exists on how AI-based planning impacts psychosocial satisfaction and self-perception during treatment.


Objective: To explore the association between AI-enhanced digital aligner treatment planning and psychosocial satisfaction in adolescent and adult orthodontic patients.


Methods: A cross-sectional study was conducted over eight months in orthodontic clinics across urban Pakistan. A total of 420 participants aged 13–40 years undergoing or recently completing AI-based aligner therapy were enrolled. The Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ) was used to assess domains such as dental self-confidence and psychological impact. Patient satisfaction with AI-driven features—such as visual simulations, treatment predictability, and perceived control—was measured using a Likert-based scale. Statistical analyses included descriptive statistics, Pearson’s correlation, and multiple regression, with data analyzed via SPSS v26. Normality of data was confirmed prior to analysis.


Results: Participants showed high satisfaction with AI features, particularly in visual clarity (mean score 4.15 ± 0.74) and treatment confidence (4.09 ± 0.77). The highest PIDAQ domain score was observed in dental self-confidence (3.89 ± 0.81). Positive correlations were noted between satisfaction with AI tools and self-confidence (r = 0.48, p < 0.001), while negative correlations were found with social impact, psychological impact, and aesthetic concern. These findings suggest a significant psychosocial benefit associated with AI-enhanced orthodontic planning.


Conclusion: AI-integrated aligner treatment planning contributes positively to patient satisfaction and psychosocial well-being, supporting its role in modern, patient-centered orthodontic care.


 

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How to Cite
1.
Khan NI, Syeda Rimsha Ahmad, Romesa Zafar, Aden Aamir, Muhammad Abdullah. ASSOCIATION BETWEEN AI-BASED TREATMENT PLANNING TOOLS AND PSYCHOSOCIAL SATISFACTION IN ORTHODONTIC PATIENTS: A CROSS SECTIONAL STUDY. IJLSS [Internet]. 2025 Aug. 18 [cited 2025 Sep. 13];3(4 (Life):138-44. Available from: https://insightsjlss.com/index.php/home/article/view/324
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Author Biographies

Nadia Inayat Khan, National Institute of Modern Languages, NUML, Rawalpindi, Pakistan.

Lecturer, National Institute of Modern Languages, NUML, Rawalpindi, Pakistan.

Syeda Rimsha Ahmad, Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.

Graduate, Bhitai Medical and Dental College, Affiliated with Liaquat University of Medical and Health Sciences (LUMHS), Jamshoro, Sindh, Pakistan.

Romesa Zafar , Shifa College of Dentistry, Islamabad, Pakistan.

BDS, Dental Surgeon, Shifa College of Dentistry, Islamabad, Pakistan.

Aden Aamir , Graduate of Fauji Foundation College of Dentistry, Islamabad, Pakistan.

General Dental Surgeon, Graduate of Fauji Foundation College of Dentistry, Islamabad, Pakistan.

Muhammad Abdullah , Nishtar Institute of Dentistry, Dera Ghazi Khan, Pakistan.

BDS, Shahida Islam Medical and Dental College (Batch 2023); House Job, Nishtar Institute of Dentistry, Dera Ghazi Khan, Pakistan.

How to Cite

1.
Khan NI, Syeda Rimsha Ahmad, Romesa Zafar, Aden Aamir, Muhammad Abdullah. ASSOCIATION BETWEEN AI-BASED TREATMENT PLANNING TOOLS AND PSYCHOSOCIAL SATISFACTION IN ORTHODONTIC PATIENTS: A CROSS SECTIONAL STUDY. IJLSS [Internet]. 2025 Aug. 18 [cited 2025 Sep. 13];3(4 (Life):138-44. Available from: https://insightsjlss.com/index.php/home/article/view/324