Sarhan Susan, Badran Amira, Ghalwash Dalia, Gamal Almalahy Hadeel, Abou-Bakr Asmaa
Oral Medicine and Periodontology, Ain Shams University in Egypt, Cairo, Egypt.
Pediatric Dentistry and Dental Public Health, Ain Shams University in Egypt, Cairo, Egypt.
BMC Med Educ. 2025 Jun 23;25(1):856. doi: 10.1186/s12909-025-07544-6.
BACKGROUND: Future dental applications of artificial intelligence (AI) are anticipated to be widely adopted across all dental specialities. However, there are some concerns among many users about the accuracy of the given information. Therefore, this study aimed to investigate postgraduate' dental students' perception, usage, and concerns towards AI systems' applications. MATERIALS AND METHODS: An online self-administered survey, consisting of 19 closed-ended questions in the English language, and a 3-point Likert-type scale was used to obtain a simple and straightforward response from participants in a "forced-choice" response format that was distributed to postgraduate dental students in the faculty of dentistry of multiple Universities. RESULTS: Younger participants and BDS holders are more likely to use AI-based software (p < 0.001), as well as showing more optimism about AI's potential to advance dentistry, whereas PhD holders are more skeptical about its integral role in healthcare (p < 0.001). Speciality influenced AI adoption significantly, with Endodontics showing the highest percentage (52.4% for 1 + years of AI usage; p = 0.006). Concerns about AI reliability and originality in research vary significantly by level of education and Speciality (p < 0.05). Younger participants show greater belief in AI's potential for major advancements in dentistry (p < 0.001). CONCLUSIONS: Postgraduate dental students generally perceive AI positively, recognizing its potential to enhance care. Usage remains moderate, with higher adoption in specialities like Endodontics and Periodontics. Concerns include AI's accuracy, ethical implications, and integration challenges, highlighting the need for further education and research. CLINICAL TRIAL NUMBER: Not applicable.
背景:预计人工智能(AI)在未来的牙科应用中将在所有牙科专业中得到广泛采用。然而,许多用户对所提供信息的准确性存在一些担忧。因此,本研究旨在调查牙科研究生对人工智能系统应用的认知、使用情况和担忧。 材料与方法:采用在线自填式调查问卷,问卷包含19个英文封闭式问题,并采用3点李克特量表,以“强制选择”的回答格式从参与者那里获得简单直接的回答,该问卷分发给多所大学牙科学院的牙科研究生。 结果:年轻参与者和牙医学士学位持有者更有可能使用基于人工智能的软件(p < 0.001),并且对人工智能推动牙科发展的潜力表现出更多乐观态度,而博士学位持有者对其在医疗保健中的不可或缺作用则更为怀疑(p < 0.001)。专业对人工智能的采用有显著影响,牙髓病学的采用率最高(使用人工智能1年以上的比例为52.4%;p = 0.006)。对人工智能在研究中的可靠性和原创性的担忧因教育水平和专业不同而有显著差异(p < 0.05)。年轻参与者对人工智能在牙科取得重大进展的潜力表现出更大的信心(p < 0.001)。 结论:牙科研究生总体上对人工智能持积极看法,认识到其改善医疗的潜力。使用情况仍然适中,在牙髓病学和牙周病学等专业中的采用率较高。担忧包括人工智能的准确性、伦理影响和整合挑战,这凸显了进一步教育和研究的必要性。 临床试验编号:不适用。
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