Keywords
Categories
How to Cite
Abstract
Introduction:
The huge usage of artificial intelligence in healthcare has raised numerous ethical dilemmas, which needs to be understood between different educational levels.
Objective:
To compare the knowledge about ethical dilemmas regarding AI usage among undergraduate and post graduate students of public sector medical institutes of Lahore.
Methodology
A literature-validated survey (June-July 2024) examined AI-related knowledge, attitudes, and practices, focusing on privacy, consent, ownership, attitude, and accountability. Descriptive statistics and chi-square tests were used to analyse responses and determine significance.
Results
We include 134 participants including both undergraduates and post graduates. Undergraduates made the majority of respondents (52.2%), followed by postgraduates(47.8%).Undergraduate students expressed higher concerns about AI-driven privacy breaches (41.4% vs. 35.9%) and unauthorized data access (60% vs. 54.7%) than postgraduates. While, Both groups agreed that data breaches are unacceptable (undergraduates 74.3%, postgraduates 62.5%). Undergraduates (60%) were more sceptical about broad consent for future research than postgraduates (57.8%). Undergraduates (72.9%) showed significantly higher concern about ethical risks in data management than postgraduate(51.6%). Postgraduates (54.7%) were slightly more concerned about economic inequality from AI than undergraduates (40%), with differences in regulatory awareness significant between the groups.
Conclusion
Our study looked at what undergraduate and postgraduate students at public sector medical institutes of Lahore think about using Big Data and AI in healthcare. We found that undergraduate students worry more about privacy and data protection and postgraduate students worry more about AI making healthcare unfair and increasing health inequalities
We recognise creating guidelines and rules for using AI in healthcare, protecting patient data and privacy, watching AI systems closely to make sure they’re working correctly. Our study helps us understand the benefits and risks of using AI in healthcare, and how we can use it to improve patient care while avoiding potential problems.