Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Caroline Vasseneix"'
Publikováno v:
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.). 11(2)
Recent advances in artificial intelligence have provided ophthalmologists with fast, accurate, and automated means for diagnosing and treating ocular conditions, paving the way to a modern and scalable eye care system. Compared to other ophthalmic di
Autor:
Xiaoran Chai, Ching-Yu Cheng, Shivani Majithia, Charumathi Sabanayagam, Simon Nusinovici, Caroline Vasseneix, Tien Yin Wong, Yih Chung Tham, Lei Zhou, Liang Zhang
Publikováno v:
British Journal of Ophthalmology. 106:267-274
AimsTo use machine learning (ML) to determine the relative contributions of modifiable and non-modifiable clinical, metabolic, genetic, lifestyle and socioeconomic factors on the risk of major eye diseases.MethodsWe conducted analyses in a cross-sect
Autor:
Caroline Vasseneix, Jason H. Peragallo, Damian E Berezovsky, Jonathan A. Micieli, Beau B. Bruce, Valérie Biousse, Nancy J. Newman, Richard J Blanch
Publikováno v:
Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 47:661-665
Objectives:To determine whether optic disc hemorrhages (ODH) and cotton wool spots (CWS) at presentation are associated with worse visual outcomes in pediatric patients with idiopathic intracranial hypertension (IIH).Methods:Retrospective institution
Publikováno v:
Telemed J E Health
Background: Acute visual loss is a common chief complaint in emergency department (ED) patients, but the scarcity of ophthalmologists in most EDs limits its evaluation. Introduction: Our objective was to evaluate whether nonmydriatic fundus photograp
Autor:
Valérie Biousse, Caroline Vasseneix, Nancy J. Newman, Richard J Blanch, Beau B. Bruce, Damian E. Berezovsky, Jason H. Peragallo, Jonathan A. Micieli
Publikováno v:
British Journal of Ophthalmology. 103:1429-1435
Background/aimsIt remains unclear whether the presence of optic disc haemorrhages (ODH) or cotton wool spots (CWS) at presentation in patients with papilloedema from idiopathic intracranial hypertension (IIH) has prognostic value. The aim of this stu
Autor:
Caroline Vasseneix, Simon Nusinovici, Xinxing Xu, Jeong Min Hwang, Steffen Hamann, John J. Chen, Jing Liang Loo, Leonard Milea, Kenneth Boon Kiat Tan, Daniel S. W. Ting, Yong Liu, Nancy J. Newman, Valerie Biousse, Tien Yin Wong, Dan Milea, Raymond P. Najjar
Publikováno v:
SSRN Electronic Journal.
Autor:
Christophe Chiquet, Anne Lesoin, Isabelle Vilgrain, Hervé Pelloux, Nelly Campolmi, Laurence Bouillet, Hélène Fricker-Hidalgo, Philippe Gain, Bernabé F. F. Chumpitazi, Marie-Pierre Brenier-Pinchart, Pierre Flori, Caroline Vasseneix, O. Savy, Florent Aptel
Publikováno v:
Parasite Immunology
Parasite Immunology, Wiley, 2020, ⟨10.1111/pim.12771⟩
Parasite Immunology, 2020, ⟨10.1111/pim.12771⟩
Parasite Immunology, Wiley, 2020, ⟨10.1111/pim.12771⟩
Parasite Immunology, 2020, ⟨10.1111/pim.12771⟩
AIMS We evaluate whether the serum and aqueous humour (AH) level of IgG anti-Hsp70.1 antibodies improved the biological diagnosis of ocular toxoplasmosis. METHODS AND RESULTS In this prospective cross-sectional and multicentre study, serum and AH wer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3db28934bd31fb6e1be499cab524c76d
https://hal.archives-ouvertes.fr/hal-03079535
https://hal.archives-ouvertes.fr/hal-03079535
Autor:
Hervé Pelloux, N. Campolmi, O. Savy, B F F Chumpitazi, M‐P. Brenier‐Pinchart, A. Lesoin, Hélène Fricker-Hidalgo, F. Aptel, I. Vilgrain, Philippe Gain, P. Flori, C. Chiquet, Caroline Vasseneix, L. Bouillet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e9778834ebff0cf5fedf00d3172403e
https://doi.org/10.1111/pim.12771/v2/response1
https://doi.org/10.1111/pim.12771/v2/response1
Autor:
Hui Yang, Piero Barboni, Carol Y. Cheung, Rabih Hage, Catherine Vignal-Clermont, Isabelle Karlesand, Kaiqun Liu, Raoul K. Khanna, Florent Aptel, Luis J. Mejico, Donghyun Kim, Pedro Fonseca, Giulia Amore, Marie Bénédicte Rougier, Nancy J. Newman, Christophe Chiquet, Maged S. Habib, Tin Aung, Gabriele Thumann, Daniel S. Ting, Carmen K.M. Chan, Dan Milea, Léonard B. Milea, Jost B. Jonas, Ching-Yu Cheng, Selvakumar Ambika, Miguel Raimundo, Raymond P. Najjar, Yong Liu, Xinxing Xu, Caroline Vasseneix, Tanyatuth Padungkiatsagul, Sharon Tow, Nouran Sabbagh, Yanin Suwan, John J. Chen, Patrick Yu-Wai-Man, Ecosse L. Lamoureux, Shweta Singhal, Anuchit Poonyathalang, James Acheson, Philippe Gohier, Jing Liang Loo, Masoud Aghsaei Fard, Barnabé Rondé-Courbis, Steffen Hamann, Daniel S W Ting, Nicolae Sanda, Michele Carbonelli, Valerio Carelli, Hee Kyung Yang, Valérie Biousse, Clare L. Fraser, Chiara La Morgia, Swetha Komma, Tien Yin Wong, Jeong Min Hwang, Neringa Jurkute, Richard Kho, Neil R. Miller, Thi Ha Chau Tran, Zhubo Jiang, Kavin Vanikieti, Noel C.Y. Chan, Wolf A. Lagrèze, Martina Romagnoli
Publikováno v:
Annals of Neurology, Vol. 88, No 4 (2020) pp. 785-795
Objective To compare the diagnostic performance of an artificial intelligence deep learning system with that of expert neuro-ophthalmologists in classifying optic disc appearance. Methods The deep learning system was previously trained and validated
Autor:
Valérie Biousse, Nancy J. Newman, Nicolae Sanda, Clare L. Fraser, Chiara La Morgia, John J. Chen, Catherine Clermont-Vignal, Caroline Vasseneix, Pedro Fonseca, Steffen Hamann, Kavin Vanikieti, Raymond P. Najjar, Daniel S W Ting, Dan Milea, Shweta Singhal, Selvakumar Ambika, Masoud Aghsaei Fard, Xinxing Xu, Tien Yin Wong, Carol Y. Cheung, Jiang Zhubo, Philippe Gohier, Marie Bénédicte Rougier, Yong Liu, Ching-Yu Cheng, Wolf A. Lagrèze, Patrick Yu-Wai-Man, Richard Kho, Neil R. Miller, Jost B. Jonas, Hui Yang, Tran Thi Ha Chau, Christophe Chiquet, Luis J. Mejico
Publikováno v:
Milea, D, Najjar, R P, Zhubo, J, Ting, D, Vasseneix, C, Xu, X, Fard, M A, Fonseca, P, Vanikieti, K, Lagrèze, W A, La Morgia, C, Cheung, C Y, Hamann, S, Chiquet, C, Sanda, N, Yang, H, Mejico, L J, Rougier, M B, Kho, R, Chau, T T H, Singhal, S, Gohier, P, Clermont-Vignal, C, Cheng, C Y, Jonas, J B, Yu-Wai-Man, P, Fraser, C L, Chen, J J, Ambika, S, Miller, N R, Liu, Y, Newman, N J, Wong, T Y & Biousse, V 2020, ' Artificial intelligence to detect papilledema from ocular fundus photographs ', New England Journal of Medicine, vol. 382, no. 18, pp. 1687-1695 . https://doi.org/10.1056/NEJMoa1917130
New England Journal of Medicine, Vol. 382, No 18 (2020) pp. 1687-1695
New England Journal of Medicine, Vol. 382, No 18 (2020) pp. 1687-1695
BACKGROUND: Nonophthalmologist physicians do not confidently perform direct ophthalmos-copy. The use of artificial intelligence to detect papilledema and other optic-disk abnormalities from fundus photographs has not been well studied METHODS: We tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9490101b7bc7304cfbb6565904461edd
http://hdl.handle.net/11585/762795
http://hdl.handle.net/11585/762795