Investigating Students’ Perceptions Towards Artificial Intelligence in Medical Education

Buabbas, Ali Jasem; Miskin, Brouj Amer; Ayed, Adel Khudar; Alnaqi, Ammar Ali; Shehab, Abrar Abdulmohsen; Safar, Maryam

doi:10.21203/rs.3.rs-1805527/v1

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…They neither agree nor disagree with the notion. This aligns with the findings from Buabbas et al [29] and Moldt et al [31], where 78•7% and 83% of participants, respectively, expressed skepticism about AI eventually replacing the roles of physicians in the future.…”

Section: Discussionsupporting

confidence: 87%

“…The majority of participants felt they knew little to nothing about ChatGPT [28]. According to Buabbas' study, 84% of Kuwaiti medical students did not have any training on the use of AI [29]. It is worth noting that more than 80% of our participants indicated an interest in learning more about ChatGPT's healthcare applications, with time restrictions being the primary barrier for 40% of them.…”

Section: Discussionmentioning

confidence: 96%

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Understanding Health Care Students’ Perceptions, Beliefs, and Attitudes Toward AI-Powered Language Models: Cross-Sectional Study

Cherrez-Ojeda,

Gallardo-Bastidas,

Robles-Velasco

et al. 2024

JMIR Med Educ

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Background: ChatGPT was not intended for use in healthcare, but it has potential benefits that depend on end-user understanding and acceptability, which is where healthcare students become crucial and there is still a limited amount of research.Objective: We aim to understand healthcare students' ChatGPT perceptions, ethical considerations, use, and attitudes. Methods:A cross-sectional survey of medical, nursing, dentistry, nutrition, and laboratory science students across the Americas was undertaken from May to June 2023. Descriptive analysis, Chi-square, and ANOVA for statistical significance across categories were used. Multiple linear regression models examined the effect of perception scores on attitude variables. All models were adjusted for gender, institution type, major, and country. STATA 18.0 performed all analyses.Results: Of 2661 healthcare students, 43% were unaware of ChatGPT. The average score of knowledge was "minimal" (mean 2.03±1.19). Most respondents regarded ChatGPT as neither ethical nor unethical. Most participants "somewhat agree" that ChatGPT (i) benefits healthcare settings, (ii) provides trustworthy data, (iii) is a helpful tool for clinical and educational medical information access, and (iv) makes the work easier. 7/10 people use it for homework. Higher knowledge and ethical scores raise Title: Understanding Healthcare Students' Perceptions, Beliefs, and Attitudes Toward AI-powered Language Models: A cross-sectional study in the Americas.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 96%

Understanding Health Care Students’ Perceptions, Beliefs, and Attitudes Toward AI-Powered Language Models: Cross-Sectional Study

Cherrez-Ojeda,

Gallardo-Bastidas,

Robles-Velasco

et al. 2024

JMIR Med Educ

View full text Add to dashboard Cite

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“…These concerns may be rooted in the uncertainty surrounding AI's role in healthcare and the need for clear guidance and education on the integration of AI into medical practice. Other research, conducted in Kuwait, found overall positive attitudes towards AI in medical education and a consensus that AI-based medical practice is required [19]. These differences in attitudes across regions could be influenced by variations in the readiness and exposure of these countries to AI in healthcare, as well as the cultural and educational contexts specific to each region.…”

Section: Discussionmentioning

confidence: 93%

Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan

Al-Qerem,

Eberhardt,

Jarab

et al. 2023

BMC Med Inform Decis Mak

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Introduction The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions’ students in Jordan concerning AI, providing insights into their preparedness and perceptions. Methods An online questionnaire was distributed to 483 Jordanian health professions’ students via social media. Demographic data, AI-related KAP, and barriers were collected. Quantile regression models analyzed associations between variables and KAP scores. Results Moderate AI knowledge was observed among participants, with specific understanding of data requirements and barriers. Attitudes varied, combining skepticism about AI replacing human teachers with recognition of its value. While AI tools were used for specific tasks, broader integration in medical education and practice was limited. Barriers included lack of knowledge, access, time constraints, and curriculum gaps. Conclusions This study highlights the need to enhance medical education with AI topics and address barriers. Students need to be better prepared for AI integration, in order to enable medical education to harness AI’s potential for improved patient care and training.

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“…A similar study on the perception of artificial intelligence (AI) among medical students showed that most students were positive and willing to adopt it in medical education. 11 Most of the previously conducted studies addressed AI-related knowledge in medical students and dentistry students have never been specifically tested for knowledge and attitude towards Chat-GPT. In a Canadian study, (78.9%) of medical students showed a good understanding of AI, however, in the same study students could not answer the true/false questions containing facts and fallacies about AI.…”

Section: Discussionmentioning

confidence: 99%

Comparison Of Knowledge and Attitude Towards Chat GPT In First and Final-Year Dental Students

Naureen,

Kiani,

Naureen

et al. 2024

JRMC

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Objective: This study aimed to examine the knowledge and attitude towards Chat-GPT among first and final-year dental students. Methods: This was a cross-sectional comparative study conducted at the Rawal Institute of Health Sciences RIHS Islamabad. The duration of the study was 3 months after approval by the Ethical Committee from June 2023 to August 2023. An electronic questionnaire was designed to assess the knowledge and attitude of first-year (G1) and final-year (G2) dental students studying at RIHS. The respondents had to agree or disagree with each statement of the questionnaire. The frequency and percentage for each response were calculated. All the items of the knowledge and attitude questionnaire were assessed for the difference in response between G1 and G2 groups with the help of the Chi-square test. Results: The knowledge assessment section showed that both first-year and final-year student groups (G1, G2) had inadequate knowledge and discouraging attitudes toward Chat-GPT. 90.6% and 86.7% of G1 and G2 students knew about what Chat-GPT is and this was the only response that showed good knowledge in both groups. 71.1% of first-year students agreed to use Chat- GPT in education as compared to 60% of final-year students. The response of any group could not exceed 70% for any of the attitude questions. The difference in knowledge and attitude response was statistically insignificant between the G1 and G2 groups showing no relationship between the responses of the two groups. Conclusion: These results highlight that there is a strong need to improve knowledge and a positive attitude towards the use of AI tools like Chat-GPT in dental students. Keywords: Artificial Intelligence, Chat-GPT, Dental education, Dental students, Knowledge, Attitude.

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Investigating Students’ Perceptions Towards Artificial Intelligence in Medical Education

Cited by 7 publications

References 17 publications

Understanding Health Care Students’ Perceptions, Beliefs, and Attitudes Toward AI-Powered Language Models: Cross-Sectional Study

Understanding Health Care Students’ Perceptions, Beliefs, and Attitudes Toward AI-Powered Language Models: Cross-Sectional Study

Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan

Comparison Of Knowledge and Attitude Towards Chat GPT In First and Final-Year Dental Students

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