Knowledge and Perception of Artificial Intelligence in Healthcare among Medical Interns: A Cross-Sectional study from a Metropolitan Medical College in India
DOI:
https://doi.org/10.55489/njmr.160320261320Keywords:
Artificial Intelligence, Knowledge, Perception, Healthcare, Cross- SectionalAbstract
Background: Artificial Intelligence (AI) is transforming healthcare through advances in diagnostics and patient management. However, awareness and training in AI remain limited among medical interns a pivotal stage of professional development. The objective was to assess knowledge and perceptions among medical interns regarding the application and role of AI in healthcare.
Methods: A cross-sectional study was conducted among interns at a medical college, using a semi-structured questionnaire covering demographic characteristics, knowledge, perceptions, perceived ethical and educational implications of AI applications in healthcare.
Results: Nearly 86.5% of interns reported no formal training in AI, 83.5% recognized AI’s potential in key domains such as diagnosis. Job reduction concerns due to AI were expressed by 73%, while 49% felt that AI might influence future specialty choice. A large majority strongly supported the inclusion of AI training within the undergraduate medical curriculum.
Conclusion: Despite limited exposure to structured AI training, medical interns showed awareness of AI’s expanding role in healthcare. The findings highlight an urgent need to integrate comprehensive AI education into medical curricula.
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