Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Gabriella Moraes, MD"'
Autor:
Gabriella Moraes, MD, MSc, Robbert Struyven, MD, Siegfried K. Wagner, BMBCh, FRCOphth, Timing Liu, BA, David Chong, MBBChir, Abdallah Abbas, iBSc, MBBS, Reena Chopra, BSc, Praveen J. Patel, MD, FRCOphth, Konstantinos Balaskas, MD, Tiarnan D.L. Keenan, BM BCh, PhD, Pearse A. Keane, MD, FRCOphth
Publikováno v:
Ophthalmology Science, Vol 4, Iss 6, Pp 100570- (2024)
Purpose: Application of artificial intelligence (AI) to macular OCT scans to segment and quantify volumetric change in anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD). Design:
Externí odkaz:
https://doaj.org/article/b1e2c12e2dc24acebc470662c91f5e62
Autor:
Xiaoxuan Liu, MBChB, Livia Faes, MD, Aditya U Kale, MBChB, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Alice Bruynseels, MBChB, Thushika Mahendiran, MBChB, Gabriella Moraes, MD, Mohith Shamdas, MBBS, Christoph Kern, MD, Joseph R Ledsam, MBChB, Martin K Schmid, MD, Konstantinos Balaskas, MD, Eric J Topol, MD, Lucas M Bachmann, ProfPhD, Pearse A Keane, MD, Alastair K Denniston, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 6, Pp e271-e297 (2019)
Summary: Background: Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of deep learning algorithms versus health-care professionals in classifying diseases using medical imaging. Methods:
Externí odkaz:
https://doaj.org/article/c73287f0c1f24d9abbb2cb81ce6add3e
Autor:
Livia Faes, MD, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Xiaoxuan Liu, MBChB, Edward Korot, MD, Joseph R Ledsam, MBChB, Trevor Back, PhD, Reena Chopra, BSc, Nikolas Pontikos, PhD, Christoph Kern, MD, Gabriella Moraes, MD, Martin K Schmid, ProfMD, Dawn Sim, PhD, Konstantinos Balaskas, MD, Lucas M Bachmann, ProfPhD, Alastair K Denniston, ProfPhD, Pearse A Keane, MD
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 5, Pp e232-e242 (2019)
Summary: Background: Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic
Externí odkaz:
https://doaj.org/article/bf7d42d7b5cc43a4b5ccbf543a6ce8c8