Awareness towards Artificial Intelligence Among Indian Medical Graduates and Undergraduates: A Cross-sectional Study
DOI:
https://doi.org/10.64149/J.Carcinog.24.3s.290-293.Keywords:
Artificial intelligence, Medical education, Awareness, Medical graduates, India, Cross-sectional studyAbstract
Background: Artificial intelligence (AI) is rapidly reshaping healthcare worldwide, offering tools for diagnostics, treatment planning, and medical education. However, the level of awareness and readiness among Indian medical graduates and undergraduates to adopt AI in clinical practice remains underexplored.
Objective: To assess the awareness, perceptions, and attitudes toward AI among Indian medical undergraduates and graduates.
Methods: A cross-sectional study was conducted across India between January and June 2025. A validated, structured questionnaire was developed, pilot-tested, and disseminated nationwide using a QR code shared via social media platforms. A total of 700 medical students (undergraduates and graduates) participated. The questionnaire assessed demographic variables, knowledge of AI concepts, perception of AI’s role in medicine, and self-reported readiness to integrate AI into future practice. Descriptive statistics, chi-square tests, and logistic regression were used to analyze associations.
Results: Among the 700 respondents, 58.4% were undergraduates and 41.6% were graduates. Overall, 62.1% demonstrated moderate knowledge of AI, while only 18.6% had high knowledge scores. Nearly 75% believed AI would play a critical role in diagnostics, while 68% felt AI could enhance medical education. However, 42% expressed concerns about job replacement by AI. Graduates exhibited significantly higher knowledge compared to undergraduates (p < 0.05). Logistic regression revealed that prior exposure to AI workshops or online training significantly predicted higher awareness levels (OR = 2.31, 95% CI: 1.58–3.14).
Conclusion: Awareness regarding AI among Indian medical undergraduates and graduates is moderate, with graduates showing significantly higher understanding. While students recognize AI’s potential in diagnostics and education, apprehensions about job security persist. Integrating AI-focused modules into the Indian medical curriculum may bridge knowledge gaps and prepare future physicians for AI-driven healthcare.
