Hasil Pencarian - Lily Peng

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  1. 1
    Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

    Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intellig... oleh Gary S Collins, Richard D Riley, Lily Peng, Johannes B Reitsma, Ben Van Calster, Andrew L Beam, Constanza L Andaur Navarro, Karel GM Moons, Patricia Logullo

    Diterbitkan 2021-07-01
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  2. 2
    Lisocabtagene maraleucel for second-line relapsed or refractory large B-cell lymphoma: patient-reported outcomes from the PILOT study

    Lisocabtagene maraleucel for second-line relapsed or refractory large B-cell lymphoma: patient-reported outcomes from the PILOT study oleh Leo I. Gordon, Fei Fei Liu, Julia Braverman, Daanish Hoda, Nilanjan Ghosh, Mehdi Hamadani, Gerhard C. Hildebrandt, Lily Peng, Shien Guo, Ling Shi, Alison Sehgal

    Diterbitkan 2023-08-01
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  3. 3
    Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

    Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning oleh Avinash V. Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joseph R. Ledsam, Pearse A. Keane, Greg S. Corrado, Lily Peng, Dale R. Webster

    Diterbitkan 2020-01-01
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  4. 4
    Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

    Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 oleh Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Edward Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Rory Pilgrim, Sahar Kazemzadeh, Jin Yu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia-Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty

    Diterbitkan 2021-09-01
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  5. 5
    Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study

    Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study oleh Paisan Ruamviboonsuk, ProfMD, Richa Tiwari, PhD, Rory Sayres, PhD, Variya Nganthavee, MD, Kornwipa Hemarat, MD, Apinpat Kongprayoon, MD, Rajiv Raman, ProfMS, Brian Levinstein, MS, Yun Liu, PhD, Mike Schaekermann, PhD, Roy Lee, BS, Sunny Virmani, MS, Kasumi Widner, MS, John Chambers, ProfMD, Fred Hersch, MPH, Lily Peng, MD, Dale R Webster, PhD

    Diterbitkan 2022-04-01
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  6. 6
    A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

    A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment oleh Ryan G. Gomes, Bellington Vwalika, Chace Lee, Angelica Willis, Marcin Sieniek, Joan T. Price, Christina Chen, Margaret P. Kasaro, James A. Taylor, Elizabeth M. Stringer, Scott Mayer McKinney, Ntazana Sindano, George E. Dahl, William Goodnight, Justin Gilmer, Benjamin H. Chi, Charles Lau, Terry Spitz, T. Saensuksopa, Kris Liu, Tiya Tiyasirichokchai, Jonny Wong, Rory Pilgrim, Akib Uddin, Greg Corrado, Lily Peng, Katherine Chou, Daniel Tse, Jeffrey S. A. Stringer, Shravya Shetty

    Diterbitkan 2022-10-01
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