Suppr超能文献

印度患者对牙科放射学中人工智能的接受度:我们是否已为这场变革做好准备?

Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?

作者信息

Arora Preeti Chawla, Sandhu Komaldeep Kaur, Arora Aman, Gupta Ambika, Waghmare Mandavi, Rampal Vasundhara

机构信息

Department of Oral Medicine and Radiology, SGRD Institute of Dental Sciences and Research, GT Road, Amritsar, India.

SGRD Institute of Dental Sciences and Research, GT Road, Amritsar, India.

出版信息

Oral Radiol. 2025 Jan;41(1):69-77. doi: 10.1007/s11282-024-00777-z. Epub 2024 Oct 9.

Abstract

OBJECTIVE

In recent times, artificial Intelligence (AI) has gained popularity in medical as well as dental radiology. Studies have been conducted among medical and dental students and professionals about the knowledge and understanding towards AI. The aim of this study was to investigate the perceptions and acceptability of AI in dental radiology among a group of Indian patients seeking dental treatment.

METHODS

A cross-sectional research was planned with a validated questionnaire, containing ten close ended questions amongst 1562 patients. Their sociodemographic characters, opinions and attitudes regarding AI and feasibility of acceptance of AI-based dental radiological diagnosis among patients was evaluated. The study sample was divided in various groups on the basis of their age; group-1(16-30 years), group-2(31-45 years) and group-3(>45 years), educational status and urban/rural background. Statistical analysis was done by Chi-square test with significance value set at p< 0.005.

RESULTS-: The participants possessed impressive knowledge about AI. Patients' awareness, attitudes and acceptability towards AI for dental radiographic diagnosis were substantially influenced by age, education level and residential background. Although many of them, especially the urban and more educated participants believed that AI could be more accurate, they preferred the human judgement. Overall, a negative attitude in terms of acceptability of AI in dental radiology was observed in this study.

CONCLUSIONS

Participants opined that AI should only be used as an auxiliary tool and valued clinical judgment over AI in ambiguous situations. It is recommended that this promising technological advancement can be used for initial screening in dental radiology.

摘要

目的

近年来,人工智能(AI)在医学和牙科放射学领域日益普及。针对医学生、牙科学生及专业人士开展了有关AI知识与理解的研究。本研究旨在调查一组寻求牙科治疗的印度患者对牙科放射学中AI的认知和接受度。

方法

采用经过验证的问卷进行横断面研究,问卷包含10个封闭式问题,共涉及1562名患者。评估了他们的社会人口学特征、对AI的看法和态度以及患者接受基于AI的牙科放射学诊断的可行性。研究样本根据年龄分为不同组:第1组(16 - 30岁)、第2组(31 - 45岁)和第3组(>45岁),还根据教育程度和城乡背景进行分组。采用卡方检验进行统计分析,显著性值设定为p < 0.005。

结果

参与者对AI具备令人印象深刻的知识。患者对AI用于牙科X线诊断的认知、态度和接受度受年龄、教育水平和居住背景的显著影响。尽管他们中的许多人,尤其是城市居民和受教育程度较高的参与者认为AI可能更准确,但他们更倾向于人工判断。总体而言,本研究观察到患者对牙科放射学中AI的接受度呈消极态度。

结论

参与者认为AI仅应作为辅助工具使用,在情况不明确时更看重临床判断而非AI。建议将这一有前景的技术进步用于牙科放射学的初步筛查。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验