Pearse A. Keane

2007–2026 年に発表

254
論文数
25,530
被引用数
80
h 指数
200
i10 指数

被引用数

Pearse A. Keane の年別被引用数1973 年: 被引用 1 件1976 年: 被引用 1 件1986 年: 被引用 1 件1994 年: 被引用 1 件1995 年: 被引用 1 件2008 年: 被引用 6 件2009 年: 被引用 6 件2010 年: 被引用 8 件2011 年: 被引用 14 件2012 年: 被引用 14 件2013 年: 被引用 25 件2014 年: 被引用 40 件2015 年: 被引用 43 件2016 年: 被引用 83 件2017 年: 被引用 96 件2018 年: 被引用 139 件2019 年: 被引用 648 件2020 年: 被引用 1,120 件2021 年: 被引用 1,589 件2022 年: 被引用 1,445 件2023 年: 被引用 1,411 件2024 年: 被引用 2,315 件2025 年: 被引用 1,797 件2026 年: 被引用 309 件1974〜1975 年は被引用が無いため表示していません1977〜1985 年は被引用が無いため表示していません1987〜1993 年は被引用が無いため表示していません1996〜2007 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,793 件、この内訳の 18.2%中国: 引用元論文 1,693 件、この内訳の 11%イギリス: 引用元論文 1,575 件、この内訳の 10.3%ドイツ: 引用元論文 684 件、この内訳の 4.5%オーストラリア: 引用元論文 579 件、この内訳の 3.8%イタリア: 引用元論文 545 件、この内訳の 3.6%インド: 引用元論文 537 件、この内訳の 3.5%カナダ: 引用元論文 499 件、この内訳の 3.3%シンガポール: 引用元論文 486 件、この内訳の 3.2%スイス: 引用元論文 388 件、この内訳の 2.5%オランダ: 引用元論文 342 件、この内訳の 2.2%フランス: 引用元論文 330 件、この内訳の 2.1%
0%18.2%その他 31.8%

分野

  • Medicine75.4%
  • Computer Science10.8%
  • Biochemistry, Genetics and Molecular Biology3.1%
  • Engineering2.9%
  • Neuroscience2.2%
  • Health Professions1.5%
  • その他4.1%

トピック

  • Retinal Imaging and Analysis11.2%
  • Retinal Diseases and Treatments9.5%
  • Artificial Intelligence in Healthcare and Education7.1%
  • Glaucoma and retinal disorders4.8%
  • Retinal and Optic Conditions3.8%
  • AI in cancer detection3.1%
  • その他60.5%

共著者

全論文

検索で開く
  1. A foundation model for generalizable disease detection from retinal images

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Usha Chakravarthy, Ruth Hogg, Euan Paterson, Jayne V. Woodside, Tünde Pető, Gareth J. McKay, Bernadette McGuinness, Paul J. Foster, Konstantinos Balaskas, Anthony P. Khawaja, Nikolas Pontikos, Jugnoo S. Rahi, Gerassimos Lascaratos, Praveen J. Patel, Michelle Chan, Sharon Chua, Alexander Day, Parul Desai, Cathy Egan, Marcus Fruttiger, David F. Garway‐Heath, Alison J. Hardcastle, Peng T. Khaw, Tony Moore, Sobha Sivaprasad, Nicholas G. Strouthidis, Dhanes Thomas, Adnan Tufail, Ananth C. Viswanathan, Bal Dhillon, Tom MacGillivray, Cathie Sudlow, Véronique Vitart, Alex S. F. Doney, Emanuele Trucco, Jeremy A. Guggeinheim, James E. Morgan, Christopher J. Hammond, Katie Williams, Pirro G. Hysi, Simon Harding, Yalin Zheng, Robert Luben, Philip J. Luthert, Zihan Sun, Martin McKibbin, Eoin O’Sullivan, Richard A. Oram, Mike Weedon, Christopher G. Owen, Alicja R. Rudnicka, Naveed Sattar, David Steel, Irene Stratton, Robyn J. Tapp, Max Yates, Axel Petzold, Savita Madhusudhan, André Altmann, Aaron Lee, Eric J. Topol, Alastair K. Denniston, Daniel C. Alexander, Pearse A. Keane - Nature 2023 被引用: 925

  2. Clinically applicable deep learning for diagnosis and referral in retinal disease

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mustafa Suleyman, Julien Cornebise, Pearse A. Keane, Olaf Ronneberger - Nature Medicine 2018 被引用: 2,608

  3. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

    著者: , , , , , , , , , , , , , , , , - The Lancet Digital Health 2019 被引用: 1,820

  4. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , John Fletcher, Dina N. Paltoo, Elaine Manna, Gary Price, Gary S. Collins, Hugh Harvey, James Matcham, João Monteiro, M. Khair ElZarrad, Lavinia Ferrante di Ruffano, Luke Oakden‐Rayner, Melissa D. McCradden, Pearse A. Keane, Richard S. Savage, Robert Golub, Rupa Sarkar, Samuel Rowley - Nature Medicine 2020 被引用: 1,053

  5. The Lancet Global Health Commission on Global Eye Health: vision beyond 2020

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Suzanne Gilbert, Reeta Gurung, Esmael Habtamu, Peter W. H. Holland, Jost B. Jonas, Pearse A. Keane, Lisa Keay, Rohit Khanna, Peng T. Khaw, Hannah Kuper, Fatima Kyari, Van Charles Lansingh, Islay Mactaggart, Milka Mafwiri, Wanjiku Mathenge, Ian McCormick, Priya Morjaria, Lizette Mowatt, Debbie Muirhead, G. V. S. Murthy, Nyawira Mwangi, Daksha Patel, Tünde Pető, Babar Qureshi, Solange Rios Salomão, Virginia Sarah, Bernadetha Shilio, Anthony W. Solomon, Bonnielin K. Swenor, Hugh R. Taylor, Ningli Wang, Aubrey Webson, Sheila K. West, Tien Yin Wong, Richard Wormald, Sumrana Yasmin, Mayinuer Yusufu, Juan Carlos Silva, Serge Resnikoff, Thulasiraj Ravilla, Clare Gilbert, Allen Foster, Hannah Faal - The Lancet Global Health 2021 被引用: 1,523

  6. Artificial Intelligence and Deep Learning in Ophthalmology

    著者: , , , , , , , , , - Artificial Intelligence in Medicine 2018 被引用: 1,225

  7. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Luke Oakden‐Rayner, Dina N. Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard S. Savage, Rupa Sarkar, Sebastian J. Vollmer, Christopher Yau - The Lancet Digital Health 2020 被引用: 413

  8. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David Moher, Dina N. Paltoo, Elaine Manna, Gary Price, Gary S. Collins, Hugh Harvey, James Matcham, João Monteiro, M. Khair ElZarrad, Lavinia Ferrante di Ruffano, Luke Oakden‐Rayner, Melissa D. McCradden, Pearse A. Keane, Richard S. Savage, Robert Golub, Rupa Sarkar, Samuel Rowley - Nature Medicine 2020 被引用: 608

  9. Integrated image-based deep learning and language models for primary diabetes care

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Simon Szeto, Peranut Chotcomwongse, Rachid Malek, Nargiza Normatova, Nilufar Ibragimova, Ramyaa Srinivasan, Pingting Zhong, Wenyong Huang, Chenxin Deng, Lei Ruan, Cuntai Zhang, Chenxi Zhang, Yan Zhou, Chan Wu, Rongping Dai, Sky Wei Chee Koh, Adina Abdullah, Nicholas Ken Yoong Hee, Hong Chang Tan, Zhong Hong Liew, Carolyn Shan‐Yeu Tien, Shih Ling Kao, Amanda Yuan Ling Lim, Shao Feng Mok, Lina Sun, Jing Gu, Liang Wu, Tingyao Li, Di Cheng, Zheyuan Wang, Yiming Qin, Ling Dai, Ziyao Meng, Jia Shu, Yuwei Lu, Nan Jiang, Tingting Hu, Shan Huang, Gengyou Huang, Shujie Yu, Dan Liu, Weizhi Ma, Minyi Guo, Xinping Guan, Xiaokang Yang, Covadonga Bascarán, Charles R Cleland, Yuqian Bao, Elif I. Ekinci, Alicia J. Jenkins, Juliana C.N. Chan, Yong Mong Bee, Sobha Sivaprasad, Jonathan E. Shaw, Rafael Simó, Pearse A. Keane, Ching‐Yu Cheng, Gavin Siew Wei Tan, Weiping Jia, Yih Chung Tham, Huating Li, Bin Sheng, Tien Yin Wong - Nature Medicine 2024 被引用: 205

  10. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cynthia D. Mulrow, Luke Oakden‐Rayner, Dina N. Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard S. Savage, Rupa Sarkar, Sebastian J. Vollmer, Christopher Yau - The Lancet Digital Health 2020 被引用: 426

  11. A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability

    著者: , , , , , , , , , - The Lancet Digital Health 2020 被引用: 333

  12. Deep learning in ophthalmology: The technical and clinical considerations

    著者: , , , , , , , , , , , - Progress in Retinal and Eye Research 2019 被引用: 513

  13. Insights into Systemic Disease through Retinal Imaging-Based Oculomics

    著者: , , , , , , , , , , , - Translational Vision Science & Technology 2020 被引用: 285

  14. With an eye to AI and autonomous diagnosis

    著者: , - npj Digital Medicine, npj Digit. Medicine 2018 被引用: 289

  15. Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence

    著者: , , , , , , , , , , , - Journal of Medical Internet Research 2022 被引用: 149

  16. AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline

    著者: , , , , , , , , - Translational Vision Science & Technology 2022 被引用: 131

  17. Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology

    著者: , , , , , , , , , , - Ophthalmology Science 2023 被引用: 107

  18. Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering

    著者: , , , , , , , , - British Journal of Ophthalmology 2023 被引用: 84

  19. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

    著者: , , , , , , , , , , , , , , , , - The Lancet Digital Health 2019 被引用: 312

  20. Predicting conversion to wet age-related macular degeneration using deep learning

    著者: , , , , , , , , , , , , , , , , , , , , , , , , - Nature Medicine 2020 被引用: 293

  21. New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology

    著者: , , , , - British Journal of Ophthalmology 2022 被引用: 121

  22. Code-free deep learning for multi-modality medical image classification

    著者: , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mach. Intell. 2021 被引用: 169

  23. Predicting sex from retinal fundus photographs using automated deep learning

    著者: , , , , , , , , , - Scientific Reports 2021 被引用: 141

  24. Fundus Photography in the 21st Century—A Review of Recent Technological Advances and Their Implications for Worldwide Healthcare

    著者: , , , , , , , , - Telemedicine Journal and e-Health 2015 被引用: 299