Sharma Varsha, Sharma Mukul, Dutta Brahmananda, Bagchi Anandamoy
Department of Dentistry, AIIMS, Raebareli, Uttar Pradesh, India.
Department of Forensic Medicine and Toxicology, AIIMS, Raebareli, Uttar Pradesh, India.
J Pharm Bioallied Sci. 2024 Jul;16(Suppl 3):S2033-S2035. doi: 10.4103/jpbs.jpbs_1193_23. Epub 2024 Jul 5.
One of the most crucial steps in providing the child's oral health care and treatment needs is modifying his/her behavior, mood and emotion in any primary care/dental home or any speciality centre. This is very important parameters for any dental professionals and paediatric dentist. Through this study we investigated the knowledge, awareness of Emotional Artificial Intelligence (AI) as tool for modifying their behaviour prior to any treatment requirement.
The study was conducted among dental professionals of located in different regions of eastern India. We used a consecutive sampling method to collect our sample.
Out of the 120 participating dental professionals, 30% professionals believed that emotional AI could monitor a child's acceptance to treatment. Despite a low perception level of emotional AI by the dentist, 71% agreed on the beneficial effect of Emotional Artificial Intelligence (AI) in an emergency or uncooperative child if such technology exist.
Regression model showed that certain key influencers can increase the quality of healthcare by 3 times which could favors Emotional Artificial Intelligence as an adjunct to Pediatric dentists in managing children.
满足儿童口腔保健和治疗需求的最关键步骤之一,是在任何初级保健/牙科诊所或任何专科中心改变其行为、情绪和情感。这对任何牙科专业人员和儿科牙医来说都是非常重要的参数。通过这项研究,我们调查了将情感人工智能(AI)作为在任何治疗需求之前改变儿童行为的工具的知识和认知情况。
该研究在印度东部不同地区的牙科专业人员中进行。我们采用连续抽样方法收集样本。
在120名参与研究的牙科专业人员中,30%的专业人员认为情感AI可以监测儿童对治疗的接受程度。尽管牙医对情感AI的认知水平较低,但71%的人同意如果有这样的技术,情感人工智能(AI)在处理急诊或不合作儿童方面具有有益效果。
回归模型显示,某些关键影响因素可将医疗保健质量提高3倍,这可能有利于将情感人工智能作为儿科牙医管理儿童的辅助手段。