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CTRI Number  CTRI/2025/05/086454 [Registered on: 06/05/2025] Trial Registered Prospectively
Last Modified On: 22/03/2025
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Other 
Public Title of Study   AI for early detection of oral cancer using 1000 radiographs 
Scientific Title of Study   Artificial intelligence for detection of oral potentially malignant and malignant conditions  
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Bodapati Bharathi 
Designation  Undergraduate student 
Affiliation  Sibar institute of dental sciences 
Address  room no : 1 , oral medicine and radiology department

Guntur
ANDHRA PRADESH
522509
India 
Phone  9985489649  
Fax    
Email  bodapatibharathi107@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  DrYalamanchili samata  
Designation  HOD And professor of oral medicine and radiology department 
Affiliation  Sibar institute of dental sciences 
Address  room no 1 ,oral medicine and radiology department

Guntur
ANDHRA PRADESH
522509
India 
Phone  9391307194  
Fax    
Email  drsamathaoralmed@sids.ac.in  
 
Details of Contact Person
Public Query
 
Name  Bodapati Bharathi 
Designation  Undergraduate student 
Affiliation  Sibar institute of dental sciences 
Address  room no 1 , oral medicine and radiology department

Guntur
ANDHRA PRADESH
522509
India 
Phone  9985489649  
Fax    
Email  bodapatibharathi107@gmail.com  
 
Source of Monetary or Material Support  
Indian council of medical research 
 
Primary Sponsor  
Name  Indian council of medical research 
Address  v.Ramalingaswami Bhawan,ansari nagar,New Delhi 
Type of Sponsor  Government funding agency 
 
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 
Bodapati bharathi  Sibar institute of dental sciences  no-1 oral medicine and radiology department,sibar institute of dental sciences
Guntur
ANDHRA PRADESH 
9985489649

bodapatibharathi107@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutiona ethics committee  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: K137||Other and unspecified lesions of oral mucosa,  
 
Intervention / Comparator Agent  
Type  Name  Details 
 
Inclusion Criteria  
Age From  15.00 Year(s)
Age To  85.00 Year(s)
Gender  Both 
Details  subjects with oral potentially malignant and malignant conditions 
 
ExclusionCriteria 
Details  nil 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Accuracy of AI -assisted oral cancer detection compared to traditional methods   as it is a cross sectional study no specific points 
 
Secondary Outcome  
Outcome  TimePoints 
Impact of AI-assisted oral cancer screening on patient anxiety & compliance with follow -up appointments  as it is a cross sectional study there are no time points 
 
Target Sample Size   Total Sample Size="1000"
Sample Size from India="1000" 
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)   02/06/2025 
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="3"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)   Not Applicable 
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  

The study aims to develop an AI- based computer vision algorithm to detect potentially malignant and malignant disorders of the oral cavity.


The study will use 1000 anonymized clinical photographs of potentially malignant and malignant lesions obtained from dental archives. These images will be annotated by oral medicine specialists and used to train a Convolutional Neural Network (CNN) algorithm.


The performance of the AI model will be evaluated using sensitivity, precision and F1 scores on a validation dataset.

 

The study suggests that this AI network could improve the accuracy of detecting oral conditions and serve as the an adjuvant for dentists and an early indicator for patients to take necessary action


 
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