AI for medical imaging goes deep

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

Research output: Contribution to journalArticle

Abstract

An artificial intelligence (AI) using a deep-learning approach can classify retinal images from optical coherence tomography for early diagnosis of retinal diseases and has the potential to be used in other image-based medical diagnoses.

Original languageEnglish (US)
Pages (from-to)539-540
Number of pages2
JournalNature Medicine
Volume24
Issue number5
DOIs
StatePublished - May 1 2018

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ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Ting, D. S. W., Liu, Y., Burlina, P., Xu, X., Bressler, N. M., & Wong, T. Y. (2018). AI for medical imaging goes deep. Nature Medicine, 24(5), 539-540. https://doi.org/10.1038/s41591-018-0029-3