Background: Artificial Intelligence (AI) is transforming industries globally, with healthcare being no exception. The present study was carried out with the objective of need assessment of AI in an undergraduate curriculum. The present study assessed the key aspects of AI in medicine, including students' baseline knowledge, their perspectives on AI’s significance, their beliefs about its potential impact on healthcare, and the need for AI education.
Materials and Methods: The present study was a cross-sectional
study conducted using a validated questionnaire among MBBS students in a rural
tertiary medical college of Kolar, Karnataka, India, from the first to final
year for two years. 396 students took part in the study after applying the
inclusion and exclusion criteria. A pre-tested, structured, validated
questionnaire was used to collect data. The study was carried out after being
permitted from the Institutional Ethics Committee. Descriptive statistics were
applied wherever needed.
Results: The findings revealed that the majority of respondents
lacked a background in computer science and had not received additional
training related to AI. Regarding the necessity of AI education in the medical
curriculum, only 15% of the students felt that their current medical education
had adequately prepared them to handle AI tools. However, 89% of respondents
agreed that AI competency training should be integrated into undergraduate
medical education.
Conclusion: With medical education being revolutionised with
Artificial Intelligence, the current undergraduate medical curriculum needs to
be capacitated, suggesting an urgent need to integrate AI competencies in the
undergraduate curriculum to better equip the students to tackle the
difficulties and possible threats of AI in medicine.
Author
(s) Details
Ashwini K. Shetty
Physiology, Sri Devaraj Urs Medical College, SDUAHER, Kolar Karnataka,
India.
Pradeep TS
Community Medicine, Sri Devaraj Urs Medical College, SDUAHER, Kolar
Karnataka, India.
Please see the book here:- https://doi.org/10.9734/bpi/msraa/v4/5440
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