Students' perceptions towards the ethical considerations of using artificial intelligence algorithms in clinical decision-making

被引:0
|
作者
Lin, Galvin Sim Siang [1 ]
Tan, Wen Wu [2 ]
Hashim, Hasnah [2 ]
机构
[1] Int Islamic Univ Malaysia, Dept Restorat Dent, Kulliyyah Dent, Kuala Lumpur 25200, Pahang, Malaysia
[2] AIMST Univ, Fac Dent, Dept Dent Publ Hlth, Bedong 08100, Malaysia
关键词
KNOWLEDGE;
D O I
10.1038/s41415-024-7184-3
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Aim The present study aimed to explore the perceptions of dental students regarding the ethical considerations associated with the use of artificial intelligence (AI) algorithms in clinical decision-making.Methods All the undergraduate clinical-year dental students were invited to take part in the study. A validated online questionnaire which consisted of 21 closed-ended questions (five-point Likert scales) was distributed to the students to evaluate their perceptions on the topic. Mean perception scores of the students from different years were analysed using a one-way ANOVA test, while independent t-tests were used to compare the scores between sexes.Results In total, 165 students participated in the present study. The mean age of the respondents was 23.3 (+/- 1.38) years and the majority were female, Chinese students. Respondents showed positive perceptions throughout all three domains. Uniform and comparable perceptions were seen across various academic years and sexes, with female respondents expressing stronger agreement regarding patient consent and privacy prioritisation.Conclusion Undergraduate clinical dental students generally showed positive perceptions regarding the ethical considerations associated with the integration of AI algorithms in clinical decision-making. It is essential to address these ethical considerations to ensure that AI benefits patient outcomes while upholding fundamental ethical principles and patient-centred care. The findings highlighted that dental students generally have positive perceptions regarding the ethical considerations of using AI algorithms in clinical decision-making.Female respondents showed stronger agreement regarding patient consent and privacy prioritisation, while slightly higher overall scores were noted among final-year dental students.The study suggested the need for dental educators to integrate lessons about patient rights and ethics into the curriculum to ensure future practitioners are well-prepared for responsible and ethical AI integration in dentistry.
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