Suppr超能文献

人工智能在口腔病理诊断中的作用——一种现代方法。

Role of artificial intelligence in diagnostic oral pathology-A modern approach.

作者信息

Krishna Ayinampudi Bhargavi, Tanveer Azra, Bhagirath Pancha Venkat, Gannepalli Ashalata

机构信息

Department of Oral Pathology, Panineeya Mahavidyalaya Institute of Dental Science, Hyderabad, Telangana, India.

出版信息

J Oral Maxillofac Pathol. 2020 Jan-Apr;24(1):152-156. doi: 10.4103/jomfp.JOMFP_215_19. Epub 2020 May 8.

Abstract

Over the decades, new equipment was emerged in medical field, and we have witnessed the importance of medical imaging such as computed tomography, magnetic resonance imaging, ultrasound, mammography and X-ray and their contribution in successful diagnosis and treatment of various diseases. Now, we are in era of artificial intelligence (AI), where machines were modeled after human brain's ability to take inputs and produce outputs from given data. AI has a wide range of uses and applications in health services industry. Factors such as increase in workload, complexity of work and potential fatigue of doctors may compromise diagnostic ability and outcome. AI components in imaging machines would reduce this workload and drive greater efficiency. They also have access to a greater wealth of data than human counterparts and can detect cancer with more accuracy than humans. This study presented an overview of AI, its recent advances in pathology and future prospects.

摘要

几十年来,医疗领域出现了新设备,我们见证了计算机断层扫描、磁共振成像、超声、乳房X线摄影和X射线等医学成像的重要性,以及它们在各种疾病的成功诊断和治疗中的贡献。现在,我们正处于人工智能(AI)时代,机器模仿人类大脑从给定数据中获取输入并产生输出的能力进行建模。人工智能在健康服务行业有广泛的用途和应用。工作量增加、工作复杂性以及医生潜在的疲劳等因素可能会影响诊断能力和结果。成像机器中的人工智能组件将减少这种工作量并提高效率。它们还能比人类获取更丰富的数据,并且在检测癌症方面比人类更准确。本研究概述了人工智能、其在病理学方面的最新进展以及未来前景。

相似文献

1
Role of artificial intelligence in diagnostic oral pathology-A modern approach.人工智能在口腔病理诊断中的作用——一种现代方法。
J Oral Maxillofac Pathol. 2020 Jan-Apr;24(1):152-156. doi: 10.4103/jomfp.JOMFP_215_19. Epub 2020 May 8.
2
Artificial intelligence for molecular neuroimaging.用于分子神经成像的人工智能
Ann Transl Med. 2021 May;9(9):822. doi: 10.21037/atm-20-6220.
3
Closing the translation gap: AI applications in digital pathology.弥合翻译差距:人工智能在数字病理学中的应用。
Biochim Biophys Acta Rev Cancer. 2021 Jan;1875(1):188452. doi: 10.1016/j.bbcan.2020.188452. Epub 2020 Oct 13.
5
Artificial intelligence in medical imaging of the liver.人工智能在肝脏医学影像中的应用。
World J Gastroenterol. 2019 Feb 14;25(6):672-682. doi: 10.3748/wjg.v25.i6.672.
7
[Artificial intelligence stomatology].[人工智能口腔医学]
Zhonghua Kou Qiang Yi Xue Za Zhi. 2020 Dec 9;55(12):915-919. doi: 10.3760/cma.j.cn112144-20201110-00565.
10
Artificial Intelligence in Reproductive Urology.人工智能在生殖泌尿科中的应用。
Curr Urol Rep. 2019 Jul 29;20(9):52. doi: 10.1007/s11934-019-0914-4.

引用本文的文献

6
Artificial intelligence in early diagnosis and prevention of oral cancer.人工智能在口腔癌早期诊断与预防中的应用
Asia Pac J Oncol Nurs. 2022 Aug 24;9(12):100133. doi: 10.1016/j.apjon.2022.100133. eCollection 2022 Dec.
9
The Effectiveness of Artificial Intelligence in Detection of Oral Cancer.人工智能在口腔癌检测中的有效性。
Int Dent J. 2022 Aug;72(4):436-447. doi: 10.1016/j.identj.2022.03.001. Epub 2022 May 14.

本文引用的文献

4
Artificial Intelligence in Pathology.病理学中的人工智能
J Pathol Transl Med. 2019 Jan;53(1):1-12. doi: 10.4132/jptm.2018.12.16. Epub 2018 Dec 28.
5
Machine Learning Methods for Histopathological Image Analysis.用于组织病理学图像分析的机器学习方法
Comput Struct Biotechnol J. 2018 Feb 9;16:34-42. doi: 10.1016/j.csbj.2018.01.001. eCollection 2018.
8
Deep Learning in Radiology: Does One Size Fit All?深度学习在放射学中的应用:是否一概而论?
J Am Coll Radiol. 2018 Mar;15(3 Pt B):521-526. doi: 10.1016/j.jacr.2017.12.027. Epub 2018 Jan 31.
9
Deep Learning in Medical Image Analysis.医学图像分析中的深度学习
Annu Rev Biomed Eng. 2017 Jun 21;19:221-248. doi: 10.1146/annurev-bioeng-071516-044442. Epub 2017 Mar 9.

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