Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey
Abstract Introduction Artificial intelligence is a transformative tool for improving healthcare delivery and diagnostic accuracy in the medical and dental fields. This study aims to assess the readiness of future healthcare workers for artificial intelligence and address this gap by examining studen...
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| Format: | Article |
| Language: | English |
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BMC
2025-04-01
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| Series: | BMC Medical Education |
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| Online Access: | https://doi.org/10.1186/s12909-025-06911-7 |
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| author | Saman Baseer Brekhna Jamil Shehzad Akbar Khan Musawer Khan Ambreen Syed Liaqat Ali |
| author_facet | Saman Baseer Brekhna Jamil Shehzad Akbar Khan Musawer Khan Ambreen Syed Liaqat Ali |
| author_sort | Saman Baseer |
| collection | DOAJ |
| description | Abstract Introduction Artificial intelligence is a transformative tool for improving healthcare delivery and diagnostic accuracy in the medical and dental fields. This study aims to assess the readiness of future healthcare workers for artificial intelligence and address this gap by examining students’ perceptions, attitudes, and knowledge related to AI in Peshawar, Pakistan. Methods A quantitative cross-sectional survey was conducted on 423 students from randomly chosen medical and dental colleges. The Medical AI Readiness Scale (MAIRS-MS) was used to perform a self-administered online questionnaire that was used to gather data. Using SPSS software, descriptive statistics and chi-square tests were used to evaluate the data. The level of significance was set at p ≤ 0.05. Results From multiple medical and dental colleges, 407 students participated in this survey. The survey showed that 29.7% of students had low, 62.2% had moderate, and only 8.1% had high readiness levels. Most medical and dental students in Peshawar, Pakistan, showed moderate readiness. There were significant gender discrepancies, showing males dominating females in readiness scores. There were only slight differences in the AI readiness scores and the academic years from the 1st to 5th year. Only a few non-Pakistani students responded, which may hinder conclusive determinations regarding national disparities. Conclusion The study revealed moderate AI readiness among participants, with significant gender disparities favouring males. Overall, there were no significant differences between dentistry and medical fields. In-depth analysis by domain and knowledge areas might uncover further distinctions. Clinical trial number Not Applicable. |
| format | Article |
| id | doaj-art-31c32d3843b24020b7634d8ffa960342 |
| institution | Kabale University |
| issn | 1472-6920 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Education |
| spelling | doaj-art-31c32d3843b24020b7634d8ffa9603422025-08-20T03:52:24ZengBMCBMC Medical Education1472-69202025-04-0125111010.1186/s12909-025-06911-7Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional surveySaman Baseer0Brekhna Jamil1Shehzad Akbar Khan2Musawer Khan3Ambreen Syed4Liaqat Ali5Department of Orthodontics, Sardar Begum Dental College PeshawarInstitute of Health Professions Education & Research, KMU PeshawarHayatabad Medical Complex PeshawarMardan Medical Complex/ Bacha Khan Medical CollegeHayatabad Medical Complex PeshawarInstitute of Kidney Diseases HMC/KGMC PeshawarAbstract Introduction Artificial intelligence is a transformative tool for improving healthcare delivery and diagnostic accuracy in the medical and dental fields. This study aims to assess the readiness of future healthcare workers for artificial intelligence and address this gap by examining students’ perceptions, attitudes, and knowledge related to AI in Peshawar, Pakistan. Methods A quantitative cross-sectional survey was conducted on 423 students from randomly chosen medical and dental colleges. The Medical AI Readiness Scale (MAIRS-MS) was used to perform a self-administered online questionnaire that was used to gather data. Using SPSS software, descriptive statistics and chi-square tests were used to evaluate the data. The level of significance was set at p ≤ 0.05. Results From multiple medical and dental colleges, 407 students participated in this survey. The survey showed that 29.7% of students had low, 62.2% had moderate, and only 8.1% had high readiness levels. Most medical and dental students in Peshawar, Pakistan, showed moderate readiness. There were significant gender discrepancies, showing males dominating females in readiness scores. There were only slight differences in the AI readiness scores and the academic years from the 1st to 5th year. Only a few non-Pakistani students responded, which may hinder conclusive determinations regarding national disparities. Conclusion The study revealed moderate AI readiness among participants, with significant gender disparities favouring males. Overall, there were no significant differences between dentistry and medical fields. In-depth analysis by domain and knowledge areas might uncover further distinctions. Clinical trial number Not Applicable.https://doi.org/10.1186/s12909-025-06911-7Artificial intelligenceReadinessUndergraduate medical studentsUndergraduate dental students |
| spellingShingle | Saman Baseer Brekhna Jamil Shehzad Akbar Khan Musawer Khan Ambreen Syed Liaqat Ali Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey BMC Medical Education Artificial intelligence Readiness Undergraduate medical students Undergraduate dental students |
| title | Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey |
| title_full | Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey |
| title_fullStr | Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey |
| title_full_unstemmed | Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey |
| title_short | Readiness towards artificial intelligence among medical and dental undergraduate students in Peshawar, Pakistan: a cross-sectional survey |
| title_sort | readiness towards artificial intelligence among medical and dental undergraduate students in peshawar pakistan a cross sectional survey |
| topic | Artificial intelligence Readiness Undergraduate medical students Undergraduate dental students |
| url | https://doi.org/10.1186/s12909-025-06911-7 |
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