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CTRI Number  CTRI/2026/04/109428 [Registered on: 27/04/2026] Trial Registered Prospectively
Last Modified On: 10/04/2026
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Other 
Public Title of Study   TINY SMILES, SMART APP: REAL-TIME AI VS TRADITIONAL FACIAL IMAGE SCALE IN PEDIATRIC DENTISTRY 
Scientific Title of Study   Comparative evaluation of accuracy and reliability of an AI powered emotion detection application and facial image scale in assessing dental anxiety in children: an observational study 
Trial Acronym  NEW 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Riya Surana 
Designation  Post Graduate Student 
Affiliation  Maitri College of Dentistry and Research, Anjora, Durg, Chhattisgarh 
Address  302, Department of Pediatric and Preventive Dentistry, Maitri College Of Dentistry and Research Centre, Anjora

Durg
CHHATTISGARH
491001
India 
Phone  7999850221  
Fax    
Email  riyasurana16@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  Dr Riya Surana 
Designation  Post Graduate Student 
Affiliation  Maitri College of Dentistry and Research, Anjora, Durg, Chhattisgarh 
Address  302, Department of Pediatric and Preventive Dentistry, Maitri College Of Dentistry and Research Centre, Anjora

Durg
CHHATTISGARH
491001
India 
Phone  7999850221  
Fax    
Email  riyasurana16@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Dr Riya Surana 
Designation  Post Graduate Student 
Affiliation  Maitri College of Dentistry and Research, Anjora, Durg, Chhattisgarh 
Address  302, Department of Pediatric and Preventive Dentistry, Maitri College Of Dentistry and Research Centre, Anjora

Durg
CHHATTISGARH
491001
India 
Phone  7999850221  
Fax    
Email  riyasurana16@gmail.com  
 
Source of Monetary or Material Support  
302, Department of Pediatric and Preventive Dentistry, Maitri College Of Dentistry and Research Centre, Anjora 
 
Primary Sponsor  
Name  Dr Riya Surana 
Address  Maitri College of Dentistry and Research Centre, Anjora, Durg, Chhattisgarh, 491001 
Type of Sponsor  Other [Self] 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Ankita Ukey  Maitri College of Dentistry and research Centre  302, Department of Pediatric and Preventive Dentistry, Maitri College Of Dentistry and Research Centre, Anjora
Durg
CHHATTISGARH 
9584105040

ankita8700@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Instituitional ethical committee  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Healthy Human Volunteers  Patients reporting to Department of pediatric and preventive dentistry 
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  AI application  AI based emotion detection application to check the emotional status of individual. total duration per child 10 to 15 minutes 
Comparator Agent  FIS scale  Manual detection of emotions using FIS scale 
 
Inclusion Criteria  
Age From  6.00 Year(s)
Age To  12.00 Year(s)
Gender  Both 
Details  Children age between 6to12 years
Children with no history of major illness
First dental visit
Children whose parents or guardians provide informed consent
Children able to understand and cooperate during dental procedures
 
 
ExclusionCriteria 
Details  Patients seeking emergency dental care or urgent interventions
Children with developmental delays, cognitive impairments, or facial deformities
Children under medication affecting mood or facial expression
Non-cooperative children or those with extreme dental phobia requiring sedation.
Children whose parents do not provide consent
 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
AI based emotion detection shows promise as feasible non invasive adjunct tool for pediatric dental anxiety assessment  8 weeks to 12 weeks 
 
Secondary Outcome  
Outcome  TimePoints 
Change in anxiety level before & after treatment  8 weeks to 12 weeks 
 
Target Sample Size   Total Sample Size="40"
Sample Size from India="40" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   16/05/2026 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="2"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   This study is an analytical cross-sectional observational comparative study designed to evaluate the agreement between an Artificial Intelligence (AI)–based emotion detection application and the Facial Image Scale (FIS) in assessing dental anxiety among children aged 6–12 years attending their first dental visit. A total of 40 participants will be assessed twice—before treatment in the waiting area and after completion of the dental visit. Anxiety levels recorded through FIS (self-reported pictorial scale) will be compared with AI-detected emotion scores derived from facial analysis. The primary outcome measure will be the level of agreement and correlation between FIS scores and AI-based scores. The secondary outcomes will include changes in anxiety levels before and after treatment and the feasibility of using AI-based assessment in a clinical pediatric dental setting. 
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