| CTRI Number |
CTRI/2025/07/091716 [Registered on: 25/07/2025] Trial Registered Prospectively |
| Last Modified On: |
24/07/2025 |
| Post Graduate Thesis |
No |
| Type of Trial |
Observational |
|
Type of Study
|
Cross Sectional Study |
| Study Design |
Other |
|
Public Title of Study
|
Understanding What Medical Students Know, Think, and Do About Artificial Intelligence in Their Learning |
|
Scientific Title of Study
|
A KAP study to assess Perception of medical undergraduates towards artificial intelligence in medical learning |
| Trial Acronym |
NIL |
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Robin Singh |
| Designation |
MBBS Undergraduate Student |
| Affiliation |
Pandit B.D. Sharma PGIMS, Rohtak |
| Address |
Department of Pharmacology
Pandit B.D. Sharma PGIMS, Rohtak
Rohtak
HARYANA
124001
India |
| Phone |
8570067061 |
| Fax |
|
| Email |
robin921.pgims@uhsr.ac.in |
|
Details of Contact Person
Scientific Query
|
| Name |
Dr Jyoti Khanna |
| Designation |
Associate Professor |
| Affiliation |
Pandit B.D. Sharma PGIMS, Rohtak |
| Address |
Department of Pharmacology
Pandit B.D. Sharma PGIMS, Rohtak
Rohtak
HARYANA
124001
India |
| Phone |
9813161766 |
| Fax |
|
| Email |
jk.jyotikhanna1@gmail.com |
|
Details of Contact Person
Public Query
|
| Name |
Dr Jyoti Khanna |
| Designation |
Associate Professor |
| Affiliation |
Pandit B.D. Sharma PGIMS, Rohtak |
| Address |
Department of Pharmacology
Pandit B.D. Sharma PGIMS, Rohtak
Rohtak
HARYANA
124001
India |
| Phone |
9813161766 |
| Fax |
|
| Email |
jk.jyotikhanna1@gmail.com |
|
|
Source of Monetary or Material Support
|
| Pandit B.D. Sharma PGIMS, Rohtak
Haryana India 124001 |
|
|
Primary Sponsor
|
| Name |
Robin Singh |
| Address |
Pandit B.D. Sharma PGIMS Rohtak |
| Type of Sponsor |
Other [self] |
|
|
Details of Secondary Sponsor
|
|
|
Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 1 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Robin Singh |
College |
Pandit B.D. Sharma PGIMS Rohtak Haryana India 124001
Rohtak
HARYANA |
8570067061
robin921.pgims@uhsr.ac.in |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| Biomedical Research Ethics Committee |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Healthy Human Volunteers |
Normal |
|
|
Intervention / Comparator Agent
|
| Type |
Name |
Details |
| Intervention |
Nil |
Nil |
| Intervention |
Nil |
Nil |
|
|
Inclusion Criteria
|
| Age From |
18.00 Year(s) |
| Age To |
30.00 Year(s) |
| Gender |
Both |
| Details |
Medical undergraduates studying in different course in UHS ROHTAK -MBBS, BDS,
Nursing, Pharmacy |
|
| ExclusionCriteria |
| Details |
Not willing to give informed consent |
|
|
Method of Generating Random Sequence
|
Not Applicable |
|
Method of Concealment
|
Not Applicable |
|
Blinding/Masking
|
Not Applicable |
|
Primary Outcome
|
| Outcome |
TimePoints |
1. To identify the perception of medical undergraduates regarding use of AI in medical
learning |
1. Data will be collected at a single point in time from a defined population. |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
1. To study the demography profile of medical undergraduates who use AI for medical
learning
2. To study knowledge regarding use of AI among medical undergraduates
3. To know the pattern of use of AI among medical undergraduates |
1. After collecting the data, data entry & data analysis will be done.
2. Interpretation of result from the data after 8 weeks.
3. After this result will be published in charts, tables & graphs. |
|
|
Target Sample Size
|
Total Sample Size="384"
Sample Size from India="384"
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)
|
04/08/2025 |
| 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="0"
Months="6"
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 - YES
- What data in particular will be shared?
Response - All of the individual participant data collected during the trial, after de-identiļ¬cation.
- What additional supporting information will be shared?
Response - Study Protocol
Response - Statistical Analysis Plan
Response - Informed Consent Form
- Who will be able to view these files?
Response - Anyone
- For what types of analyses will this data be available?
Response - Any purpose.
- By what mechanism will data be made available?
Response (Others) - NIL
- For how long will this data be available start date provided 16-01-2026 and end date provided 16-01-2042?
Response - Immediately following publication. No end date.
- Any URL or additional information regarding plan/policy for sharing IPD?
Additional Information - NIL
|
|
Brief Summary
|
Artificial intelligence (AI) enhances undergraduate learning by simplifying complex topics, summarizing large texts, providing instant responses to queries, and supporting personalized learning. Relying too much on AI can potentially weaken studentsā ability to make independent clinical judgments, especially in complex cases where human intuition and empathy are crucial. Excessive use may also reduce social interaction and team-based communication. This study is planned with the aim and objective of exploring the knowledge, pattern of use, and perception of medical undergraduates (UGs) in medical learning. The study will include UGs from all courses -MBBS, BDS, Nursing and Pharmacy. At least 384 responses will be recorded through an online survey through self-reported questionnaire which will be circulated through WhatsApp and Gmail among students after obtaining informed consent from volunteers. This is one one-time cross-sectional survey. The primary endpoint of the study to identify the perception of medical undergraduates regarding use of AI in medical learning. The secondary endpoint of the study is to study the demography profile of medical undergraduates who use AI for medical learning, to study knowledge regarding use of AI among medical undergraduates and to know the pattern of use of AI among medical undergraduates. Data will be anonymized and entered in excel sheet. Percentage of responses will be noted. The questionnaire has four domains- demography, knowledge, pattern of use and perception of medical UGs towards use of AI in medical learning. A pilot study will be conducted for validation of the questionnaire. |