Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn. Its applications in healthcare include diagnostic imaging, drug discovery, predictive analytics, and personalized treatment plans⁵. However, the understanding of AI among medical trainees is still evolving. Studies from developed nations such as France and the UK show that while enthusiasm toward AI is high, actual competency remains low⁷. In India, there is a scarcity of data on AI-related knowledge among postgraduate medical students, which prompted this study⁶.

OBJECTIVE

To assess Knowledge of Artificial intelligence among Postgraduate medical students at a tertiary care institute

To assess Attitude of Artificial intelligence among Postgraduate medical students at a tertiary care institute

To assess Practice of Artificial intelligence among Postgraduate medical students at a tertiary care institute

MATERIALS AND METHODS

Study Design: A descriptive cross-sectional study was conducted between October 2024 to January 2025 among postgraduate medical students in Tamil Nadu. An online Google Form questionnaire based on validated international tools was used to assess knowledge, attitude, and practice toward AI.

Inclusion Criteria: Postgraduate medical students in Melmaruvathur Adhiparasakthi Medical college.

Exclusion Criteria: Students unwilling to participate or incomplete responses.

Data Analysis: Collected data were entered into Microsoft Excel SPSS 22.0 and analyzed using descriptive statistics. Results were expressed as frequency and percentage. Graphical representation (bar charts, pie charts, and anthropometric-style diagrams) were generated to visualize KAP trends.

RESULTS

Out of 74 participants, 91.9% were aware of AI, while only 40.5% had strong foundational knowledge. About 58.1% identified medical applications of AI, whereas formal teaching exposure was only 29.7%. AI-related course participation was limited (32.4%), and ethical awareness remained moderate (59%). However, a positive attitude toward AI’s role in clinical improvement was seen in over 80% of respondents.

DISCUSSION

The study demonstrates that postgraduate students possess strong awareness but limited formal education on AI. This reflects a global pattern where enthusiasm precedes structured training¹⁰. The findings are comparable to those of Perrier et al. (2022), who reported that only 5% of young pediatricians had received AI training¹ Barriers such as lack of curriculum integration, insufficient faculty training, and absence of interdisciplinary exposure contribute to this gap¹².

Students expressed ethical and data security concerns, aligning with the global need for robust AI governance¹¹. Nevertheless, the willingness to adopt AI-based tools and the demand for formal training reflect readiness among medical trainees for digital transformation in healthcare¹³.

Above is a representative diagram showing proportional distribution of Knowledge, Attitude, and Practice levels (Anthropometric-style visualization).

CONCLUSION

The study concludes that while postgraduate medical students in Tamil Nadu are aware of AI and its potential, there exists a significant gap in structured learning⁸. Introducing AI modules in medical curriculum, along with faculty sensitization and hands-on workshops, is vital. A multidisciplinary approach integrating medicine, data science, and ethics can bridge this educational divide⁹.

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Knowledge, Attitude, and Practice Summary Table

This table summarizes the responses from postgraduate medical students in Tamil Nadu regarding their knowledge, attitude, and practices toward Artificial Intelligence (AI) in medicine.