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印度口腔放射学领域人工智能未来发展的知识、态度与认知:一项调查

Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey.

作者信息

Sur Jaideep, Bose Sourav, Khan Fatima, Dewangan Deeplaxmi, Sawriya Ekta, Roul Ayesha

机构信息

Department of Oral Medicine and Radiology, Rungta College of Dental Sciences and Research, Bhilai, India.

出版信息

Imaging Sci Dent. 2020 Sep;50(3):193-198. doi: 10.5624/isd.2020.50.3.193. Epub 2020 Sep 16.

DOI:10.5624/isd.2020.50.3.193
PMID:33005576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7506091/
Abstract

PURPOSE

This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among dental specialists in central India.

MATERIALS AND METHODS

An online survey was conducted consisting of 15 closed-ended questions using Google Forms and circulated among dental professionals in central India. The survey consisted of questions regarding participants' recognition of and attitudes toward AI, their opinions on directions of AI development, and their perceptions regarding the future of AI in oral radiology.

RESULTS

Of the 250 participating dentists, 68% were already familiar with the concept of AI, 69% agreed that they expect to use AI for making dental diagnoses, 51% agreed that the major function of AI would be the interpretation of complicated radiographic scans, and 63% agreed that AI would have a future in India.

CONCLUSION

This study concluded that dental specialists were well aware of the concept of AI, that AI programs could be used as an adjunctive tool by dentists to increasing their diagnostic precision when interpreting radiographs, and that AI has a promising role in radiological diagnosis.

摘要

目的

本研究调查了印度中部牙科专家对人工智能(AI)在放射诊断领域未来发展的知识、态度和看法。

材料与方法

使用谷歌表单进行了一项在线调查,包含15个封闭式问题,并在印度中部的牙科专业人员中进行了分发。该调查包括有关参与者对AI的认知和态度、他们对AI发展方向的看法以及他们对AI在口腔放射学领域未来发展的看法等问题。

结果

在250名参与调查的牙医中,68%已经熟悉AI的概念,69%同意他们期望使用AI进行牙科诊断,51%同意AI的主要功能将是解读复杂的放射影像扫描,63%同意AI在印度会有发展前景。

结论

本研究得出结论,牙科专家对AI的概念有充分了解,AI程序可被牙医用作辅助工具,以提高其在解读X光片时的诊断准确性,并且AI在放射诊断中具有广阔的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/8aaa49536f5d/isd-50-193-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/c40dd138699c/isd-50-193-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/88919ef70e44/isd-50-193-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/e1790d7ace97/isd-50-193-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/fa942a072d49/isd-50-193-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/8aaa49536f5d/isd-50-193-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/c40dd138699c/isd-50-193-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/88919ef70e44/isd-50-193-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/e1790d7ace97/isd-50-193-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/fa942a072d49/isd-50-193-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0299/7506091/8aaa49536f5d/isd-50-193-g005.jpg

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