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AI for medical imaging goes deep.

作者信息

Ting Daniel S W, Liu Yong, Burlina Philippe, Xu Xinxing, Bressler Neil M, Wong Tien Y

机构信息

Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.

出版信息

Nat Med. 2018 May;24(5):539-540. doi: 10.1038/s41591-018-0029-3.

DOI:10.1038/s41591-018-0029-3

PMID:29736024

Abstract

摘要

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AI for medical imaging goes deep.

作者信息

Ting Daniel S W, Liu Yong, Burlina Philippe, Xu Xinxing, Bressler Neil M, Wong Tien Y

机构信息

Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.

出版信息

Nat Med. 2018 May;24(5):539-540. doi: 10.1038/s41591-018-0029-3.

DOI:10.1038/s41591-018-0029-3

PMID:29736024

Abstract

摘要

相似文献

AI for medical imaging goes deep.

Nat Med. 2018 May;24(5):539-540. doi: 10.1038/s41591-018-0029-3.

Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.

J Med Imaging Radiat Sci. 2019 Dec;50(4):477-487. doi: 10.1016/j.jmir.2019.09.005. Epub 2019 Oct 7.

Artificial intelligence in medical imaging of the liver.

World J Gastroenterol. 2019 Feb 14;25(6):672-682. doi: 10.3748/wjg.v25.i6.672.

Artificial Intelligence in Nuclear Medicine.

J Nucl Med. 2019 Sep;60(Suppl 2):29S-37S. doi: 10.2967/jnumed.118.220590.

Artificial intelligence in medical imaging.

Magn Reson Imaging. 2020 May;68:A1-A4. doi: 10.1016/j.mri.2019.12.006. Epub 2019 Dec 16.

Recent technical development of artificial intelligence for diagnostic medical imaging.

Jpn J Radiol. 2019 Feb;37(2):103-108. doi: 10.1007/s11604-018-0804-6. Epub 2019 Jan 31.

How Cognitive Machines Can Augment Medical Imaging.

AJR Am J Roentgenol. 2019 Jan;212(1):9-14. doi: 10.2214/AJR.18.19914. Epub 2018 Nov 13.

Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.

J Nucl Med Technol. 2019 Dec;47(4):273-281. doi: 10.2967/jnmt.119.232470. Epub 2019 Aug 10.

Artificial intelligence and medical imaging: applications, challenges and solutions.

Med J Aust. 2021 Jun;214(10):450-452.e1. doi: 10.5694/mja2.51077. Epub 2021 May 13.

AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.

Radiol Phys Technol. 2020 Mar;13(1):6-19. doi: 10.1007/s12194-019-00552-4. Epub 2020 Jan 2.

引用本文的文献

Performance and reliability evaluation of an improved machine learning-based pure-tone audiometry with automated masking.

World J Otorhinolaryngol Head Neck Surg. 2024 Sep 12;11(2):173-188. doi: 10.1002/wjo2.208. eCollection 2025 Jun.

Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment.

J Med Internet Res. 2025 May 27;27:e70179. doi: 10.2196/70179.

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study.

JMIR Med Educ. 2025 May 26;11:e65220. doi: 10.2196/65220.

Narrative review of comprehensive management strategies for diabetic retinopathy: interdisciplinary approaches and future perspectives.

BMJ Public Health. 2025 Jan 16;3(1):e001353. doi: 10.1136/bmjph-2024-001353. eCollection 2025 Jan.

Axillary lymph node metastasis in breast cancer: from historical axillary surgery to updated advances in the preoperative diagnosis and axillary management.

BMC Surg. 2025 Feb 27;25(1):81. doi: 10.1186/s12893-025-02802-2.

Detecting and Mitigating the Clever Hans Effect in Medical Imaging: A Scoping Review.

J Imaging Inform Med. 2024 Nov 25. doi: 10.1007/s10278-024-01335-z.

A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data.

Transl Vis Sci Technol. 2024 Sep 3;13(9):22. doi: 10.1167/tvst.13.9.22.

Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.

JMIR Ment Health. 2024 Sep 18;11:e58462. doi: 10.2196/58462.

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Evaluating the Robustness of a Deep Learning Bone Age Algorithm to Clinical Image Variation Using Computational Stress Testing.

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