Výsledky vyhledávání - Justin Engelmann

Training a high-performance retinal foundation model with half-the-data and 400 times less compute Autor Justin Engelmann, Miguel O. Bernabeu

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Matters Arising: Near-identical images, not foundation models, explain purported re-identification of patients from medical imaging Autor Justin Engelmann, Siegfried K. Wagner, Yukun Zhou, Pearse A. Keane

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Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany Autor Broder Poschkamp, Ariel Yuhan Ong, Justin Engelmann, Michael Grün, Andreas Stahl, Pearse Andrew Keane, David Adrian Merle

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Considering the missing science of retraining and maintenance in medical artificial intelligence, using ophthalmology as an exemplar Autor Ariel Yuhan Ong, Robbert R. Struyven, Alastair K. Denniston, David A. Merle, Justin Engelmann, Hyunmin Kim, Yukun Zhou, Pearse A. Keane, Ines Lains

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Comparative educational effectiveness of AI generated images and traditional lectures for diagnosing chalazion and sebaceous carcinoma Autor Hitoshi Tabuchi, Isana Nakajima, Mhairi Day, Tsuyoshi Yoneda, Mao Tanabe, Niall Strang, Justin Engelmann, Hodaka Deguchi, Masahiro Akada, Takaaki Moriguchi, Yuta Nakaniida, Hideki Tsuji

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Beyond overconfidence: Embedding curiosity and humility for ethical medical AI Autor Sebastián Andrés Cajas Ordóñez, Rowell Castro, Leo Anthony Celi, Roben Delos Reyes, Justin Engelmann, Ari Ercole, Almog Hilel, Mahima Kalla, Leo Kinyera, Maximin Lange, Torleif Markussen Lunde, Mackenzie J. Meni, Anna E. Premo, Jana Sedlakova

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Beyond overconfidence: Embedding curiosity and humility for ethical medical AI. Autor Sebastián Andrés Cajas Ordóñez, Rowell Castro, Leo Anthony Celi, Roben Delos Reyes, Justin Engelmann, Ari Ercole, Almog Hilel, Mahima Kalla, Leo Kinyera, Maximin Lange, Torleif Markussen Lunde, Mackenzie J Meni, Anna E Premo, Jana Sedlakova

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Engineering framework for curiosity-driven and humble AI in clinical decision support Autor Ari Ercole, Leo Anthony Celi, Jana Sedlakova, Justin Engelmann, Janan Arslan, Kurt Benke, Rowell Castro, Gustavo Adolfo Cruz Suarez, Roben Delos Reyes, Almog Hilel, Leo Kinyera, Maximin Lange, Torleif Markussen Lunde, Mackenzie J Meni, Felipe Ocampo Osorio, Anna E Premo, Pritika Vig, Sebastian Andres Cajas Ordoñez

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Understanding pre-training data effects in retinal foundation models using two large fundus cohorts Autor Yukun Zhou, Zheyuan Wang, Yilan Wu, Ariel Yuhan Ong, Siegfried K. Wagner, Eden Ruffell, Mark A. Chia, Zhouyu Guan, Lie Ju, Justin Engelmann, David A. Merle, Tingyao Li, Jia Shu, Paul Nderitu, Ke Zou, Jocelyn Hui Lin Goh, Qingshan Hou, Xiaoxuan Liu, Yaxing Wang, Yih Chung Tham, Andre Altmann, Carol Y. Cheung, Daniel C. Alexander, Eric J. Topol, Alastair K. Denniston, Tien Yin Wong, Bin Sheng, Pearse A. Keane

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