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CTRI Number  CTRI/2020/09/027728 [Registered on: 10/09/2020] Trial Registered Prospectively
Last Modified On: 10/09/2020
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Other 
Public Title of Study   Artificial Intelligence solution for screening cataract  
Scientific Title of Study   Validate an Artificial Intelligence solution (PowerAI) for diagnosing cataract using a mobile aided imaging system 
Trial Acronym   
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Kaushik Murali 
Designation  President Medical Administration 
Affiliation  Sankara Eye Hospital 
Address  Sankara Eye Hospital Varthur Main Road , Kundalahalli Gate

Bangalore
KARNATAKA
560037
India 
Phone  9739000096  
Fax    
Email  kaushik@sankaraeye.com  
 
Details of Contact Person
Scientific Query
 
Name  Kaushik Murali 
Designation  President Medical Administration 
Affiliation  Sankara Eye Hospital 
Address  Sankara Eye Hospital Varthur Main Road , Kundalahalli Gate


KARNATAKA
560037
India 
Phone  9739000096  
Fax    
Email  kaushik@sankaraeye.com  
 
Details of Contact Person
Public Query
 
Name  Kaushik Murali 
Designation  President Medical Administration 
Affiliation  Sankara Eye Hospital 
Address  Sankara Eye Hospital Varthur Main Road , Kundalahalli Gate


KARNATAKA
560037
India 
Phone  9739000096  
Fax    
Email  kaushik@sankaraeye.com  
 
Source of Monetary or Material Support  
Sankara Eye Hospital  
 
Primary Sponsor  
Name  Sankara Eye Hospital 
Address  Sankara Eye Hospital, Varthur Main Road, Bangalore 37 
Type of Sponsor  Research institution and hospital 
 
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 
Kaushik Murali  Sankara Eye Hosptial  Varthur Main Road, Kundlahalli Gate, Bangalore -37
Bangalore
KARNATAKA 
08028542727

kaushik@sankaraeye.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutional Ethics Committee - Sankara Eye Hospital   Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: H00-H59||Diseases of the eye and adnexa,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Comparator Agent  Analysis of mobile image of lens of the eye using Ai  Diagnosis of Cataract, pseudophakia or clear lens by the Ai platform would be compared to an ophthalmologist grading of the lens of the eye with LOCS3 grading.  
 
Inclusion Criteria  
Age From  50.00 Year(s)
Age To  99.00 Year(s)
Gender  Both 
Details  Any cataract
Pseudophakia
Aphakia
Clear Lens 
 
ExclusionCriteria 
Details  Corneal Opacity
nystagmus 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment    
Blinding/Masking    
Primary Outcome  
Outcome  TimePoints 
Ability to Diagnose Cataract in images captured  on presentation 
 
Secondary Outcome  
Outcome  TimePoints 
none  not applicable 
 
Target Sample Size   Total Sample Size="220"
Sample Size from India="220" 
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)   12/09/2020 
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="3"
Days="0" 
Recruitment Status of Trial (Global)   Not Applicable 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   nil 
Individual Participant Data (IPD) Sharing Statement

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

Brief Summary   Using an Artificial Intelligence algorithm we are aiming at creating a serviceable option to improve clinical workflow of cataract’s diagnosis in the background of large-population screening (community screening).This will be achieved by using a smartphone and capturing an image of the eye. The Ai algorithm would be used to identify cataract , normal eye and pseudophakia/aphakia. This would be compared with a slit lamp examination to identify the presence of cataract. The study looks to compare the ability of a Ai based prediction of a photograph of the eye to help identify cataracts in the study population. 
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