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Pearse A. Keane

Active 2007–2026

254
Papers
25,530
Citations
80
h-index
200
i10-index

Citations

Citations per year for Pearse A. Keane1973: 1 citations1976: 1 citations1986: 1 citations1994: 1 citations1995: 1 citations2008: 6 citations2009: 6 citations2010: 8 citations2011: 14 citations2012: 14 citations2013: 25 citations2014: 40 citations2015: 43 citations2016: 83 citations2017: 96 citations2018: 139 citations2019: 648 citations2020: 1,120 citations2021: 1,589 citations2022: 1,445 citations2023: 1,411 citations2024: 2,315 citations2025: 1,797 citations2026: 309 citations1974–1975: no citations, so these years are not shown1977–1985: no citations, so these years are not shown1987–1993: no citations, so these years are not shown1996–2007: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,793 citing papers, 18.2% of this breakdownChina: 1,693 citing papers, 11% of this breakdownUnited Kingdom: 1,575 citing papers, 10.3% of this breakdownGermany: 684 citing papers, 4.5% of this breakdownAustralia: 579 citing papers, 3.8% of this breakdownItaly: 545 citing papers, 3.6% of this breakdownIndia: 537 citing papers, 3.5% of this breakdownCanada: 499 citing papers, 3.3% of this breakdownSingapore: 486 citing papers, 3.2% of this breakdownSwitzerland: 388 citing papers, 2.5% of this breakdownNetherlands: 342 citing papers, 2.2% of this breakdownFrance: 330 citing papers, 2.1% of this breakdown
0%18.2%Other 31.8%

Institutions

Fields

  • Medicine75.4%
  • Computer Science10.8%
  • Biochemistry, Genetics and Molecular Biology3.1%
  • Engineering2.9%
  • Neuroscience2.2%
  • Health Professions1.5%
  • Other4.1%

Topics

  • 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%
  • Other60.5%

Coauthors

All papers

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  1. A foundation model for generalizable disease detection from retinal images

    Authors: Yukun Zhou, Mark A. Chia, Siegfried K. Wagner, Murat Seçkin Ayhan, Dominic J. Williamson, Robbert Struyven, Timing Liu, Moucheng Xu, Mateo G. Lozano, Peter Woodward-Court, Yuka Kihara, Naomi E. Allen, John Gallacher, Thomas J. Littlejohns, Tariq Aslam, Paul Bishop, Graeme C. Black, Panagiotis I. Sergouniotis, Denize Atan, Andrew D. Dick, Cathy Williams, Sarah Barman, Jenny H. Barrett, Sarah Mackie, Tasanee Braithwaite, Roxana O. Carare, Sarah Ennis, Jane Whitney Gibson, Andrew Lotery, Jay Self, 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 cited by 925

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

    Authors: Jeffrey De Fauw, Joseph R. Ledsam, Bernardino Romera‐Paredes, Stanislav Nikolov, Nenad Tomašev, Sam Blackwell, Harry Askham, Xavier Glorot, Brendan O’Donoghue, Daniel Visentin, George van den Driessche, Balaji Lakshminarayanan, Clemens Meyer, Faith Mackinder, S. Miles Bouton, Kareem Ayoub, Reena Chopra, Dominic King, Alan Karthikesalingam, Cían Hughes, Rosalind Raine, J. Randall Hughes, Dawn A. Sim, Catherine Egan, Adnan Tufail, Hugh Montgomery, Demis Hassabis, Geraint Rees, Trevor Back, Peng T. Khaw, Mustafa Suleyman, Julien Cornebise, Pearse A. Keane, Olaf Ronneberger - Nature Medicine 2018 cited by 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

    Authors: Xiaoxuan Liu, Livia Faes, Aditya U. Kale, Siegfried K. Wagner, Dun Jack Fu, Alice Bruynseels, Thushika Mahendiran, Gabriella Moraes, Mohith Shamdas, Christoph Kern, Joseph R. Ledsam, Martin Schmid, Konstantinos Balaskas, Eric J. Topol, Lucas M. Bachmann, Pearse A. Keane, Alastair K. Denniston - The Lancet Digital Health 2019 cited by 1,820

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

    Authors: Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, Melanie Calvert, Alastair K. Denniston, The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, An-Wen Chan, Ara Darzi, Christopher Holmes, Christopher Yau, Hutan Ashrafian, Jonathan J Deeks, Lavinia Ferrante di Ruffano, Livia Faes, Pearse A. Keane, Sebastian J. Vollmer, SPIRIT-AI and CONSORT-AI Consensus Group, Aaron Lee, Adrian Jonas, Andre Esteva, Andrew L. Beam, An-Wen Chan, Maria Beatrice Panico, Cecilia S. Lee, Charlotte Haug, Christopher Kelly, Christopher Yau, Cynthia D. Mulrow, Cyrus Espinoza, 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 cited by 1,053

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

    Authors: Matthew J. Burton, Jacqueline Ramke, Ana Patrícia Marques, Rupert Bourne, Nathan Congdon, Iain Jones, Brandon A M Ah Tong, Simon Arunga, Damodar Bachani, Covadonga Bascarán, Andrew Bastawrous, Karl Blanchet, Tasanee Braithwaite, John Buchán, John Cairns, Anasaini Cama, Margarida Chagunda, Chimgee Chuluunkhuu, Andrew Cooper, Jessica Crofts-Lawrence, William H. Dean, Alastair K. Denniston, Joshua R. Ehrlich, Paul M. Emerson, Jennifer Evans, Kevin D. Frick, David S. Friedman, João M. Furtado, Michael Gichangi, Stephen Gichuhi, 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 cited by 1,523

  6. Artificial Intelligence and Deep Learning in Ophthalmology

    Authors: Daniel Shu Wei Ting, Pearse A. Keane, Lily Peng, John Peter Campbell, Tien Yin Wong, Daniel Shu Wei Ting, Gavin Siew Wei Tan, Leopold Schmetterer, Pearse A. Keane, Tien Yin Wong - Artificial Intelligence in Medicine 2018 cited by 1,225

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

    Authors: Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, Melanie Calvert, Alastair K. Denniston, Hutan Ashrafian, Andrew L. Beam, An-Wen Chan, Gary S. Collins, Ara DarziJonathan J Deeks, M. Khair ElZarrad, Cyrus Espinoza, Andre Esteva, Livia Faes, Lavinia Ferrante di Ruffano, John Fletcher, Robert Golub, Hugh Harvey, Charlotte Haug, Christopher Holmes, Adrian Jonas, Pearse A. Keane, Christopher Kelly, Aaron Lee, Cecilia S Lee, Elaine Manna, James Matcham, Melissa D. McCradden, João Monteiro, 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 cited by 413

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

    Authors: Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan, Alastair K. Denniston, Melanie Calvert, The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, Ara Darzi, Christopher Holmes, Christopher Yau, David Moher, Hutan Ashrafian, Jonathan J Deeks, Lavinia Ferrante di Ruffano, Livia Faes, Pearse A. Keane, Sebastian J. Vollmer, SPIRIT-AI and CONSORT-AI Consensus Group, Aaron Lee, Adrian Jonas, Andre Esteva, Andrew L. Beam, Maria Beatrice Panico, Cecilia S. Lee, Charlotte Haug, Christophe J. Kelly, Christopher Yau, Cynthia D. Mulrow, Cyrus Espinoza, John Fletcher, 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 cited by 608

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

    Authors: Jiajia Li, Zhouyu Guan, Jing Wang, Carol Y. Cheung, Yingfeng Zheng, Lee‐Ling Lim, Cynthia Ciwei Lim, Paisan Ruamviboonsuk, Rajiv Raman, Leonor Corsino, Justin B. Echouffo‐Tcheugui, Andrea O. Y. Luk, Li Jia Chen, Xiaodong Sun, Haslina Hamzah, Qiang Wu, Xiangning Wang, Ruhan Liu, Ya Xing Wang, Ting‐Li Chen, Xiao Zhang, Xiaolong Yang, Jun Yin, Jing Wan, Du Wei, Ten Cheer Quek, Jocelyn Hui Lin Goh, Dawei Yang, Xiaoyan Hu, Truong Nguyen, 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 cited by 205

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

    Authors: Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan, Alastair K. Denniston, Melanie Calvert, Hutan Ashrafian, Andrew L. Beam, Gary S. Collins, Ara Darzi, Jonathan J Deeks, M. Khair ElZarrad, Cyrus Espinoza, Andre Esteva, Livia Faes, Lavinia Ferrante di Ruffano, John Fletcher, Robert Golub, Hugh Harvey, Charlotte Haug, Christopher Holmes, Adrian Jonas, Pearse A. Keane, Christopher Kelly, Aaron Lee, Cecilia S. Lee, Elaine Manna, James Matcham, Melissa D. McCradden, David Moher, João Monteiro, 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 cited by 426

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

    Authors: Saad Khan, Xiaoxuan Liu, Siddharth Nath, Edward Korot, Livia Faes, Siegfried K. Wagner, Pearse A. Keane, Neil J. Sebire, Matthew J. Burton, Alastair K. Denniston - The Lancet Digital Health 2020 cited by 333

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

    Authors: Daniel Shu Wei Ting, Lily Peng, Avinash V. Varadarajan, Pearse A. Keane, Philippe Burlina, Michael F. Chiang, Leopold Schmetterer, Louis R. Pasquale, Neil M. Bressler, Dale R. Webster, Michael D. Abràmoff, Tien Yin Wong - Progress in Retinal and Eye Research 2019 cited by 513

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

    Authors: Siegfried K. Wagner, Dun Jack Fu, Livia Faes, Xiaoxuan Liu, Josef Huemer, Hagar Khalid, Daniel Ferraz, Edward Korot, Christopher Kelly, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane - Translational Vision Science & Technology 2020 cited by 285

  14. With an eye to AI and autonomous diagnosis

    Authors: Pearse A. Keane, Eric J. Topol - npj Digital Medicine, npj Digit. Medicine 2018 cited by 289

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

    Authors: Henry David Jeffry Hogg, Mohaimen Al-Zubaidy, Technology Enhanced Macular Services Study Reference Group, James Talks, Alastair K. Denniston, Christopher Kelly, Johann Malawana, Chrysanthi Papoutsi, M. Dawn Teare, Pearse A. Keane, Fiona Beyer, Gregory Maniatopoulos - Journal of Medical Internet Research 2022 cited by 149

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

    Authors: Yukun Zhou, Siegfried K. Wagner, Mark A. Chia, An Zhao, Peter Woodward-Court, Moucheng Xu, Robbert Struyven, Daniel C. Alexander, Pearse A. Keane - Translational Vision Science & Technology 2022 cited by 131

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

    Authors: Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell, Pearse A. Keane, Louis R. Pasquale, Michael D. Abràmoff, Jayashree Kalpathy–Cramer, Flora Lum, Judy E. Kim, Sally L. Baxter, Daniel Shu Wei Ting - Ophthalmology Science 2023 cited by 107

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

    Authors: Fares Antaki, Daniel Milad, Mark A. Chia, Charles‐Édouard Giguère, Samir Touma, Jonathan El‐Khoury, Pearse A. Keane, Pearse A Keane, Renaud Duval - British Journal of Ophthalmology 2023 cited by 84

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

    Authors: Livia Faes, Siegfried K. Wagner, Dun Jack Fu, Xiaoxuan Liu, Edward Korot, Joseph R. Ledsam, Trevor Back, Reena Chopra, Nikolas Pontikos, Christoph Kern, Gabriella Moraes, Martin Schmid, Dawn A. Sim, Konstantinos Balaskas, Lucas M. Bachmann, Alastair K. Denniston, Pearse A. Keane - The Lancet Digital Health 2019 cited by 312

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

    Authors: Jason Yim, Reena Chopra, Terry Spitz, Jim Winkens, Annette Obika, Christopher Kelly, Harry Askham, Marko Lukić, Josef Huemer, Katrin Fasler, Gabriella Moraes, Clemens Meyer, Marc Wilson, Jonathan S. Dixon, Cían Hughes, Geraint Rees, Peng T. Khaw, Alan Karthikesalingam, Dominic King, Demis Hassabis, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Pearse A. Keane, Jeffrey De Fauw - Nature Medicine 2020 cited by 293

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

    Authors: Siddharth Nath, Abdullah Marie, Simon Ellershaw, Edward Korot, Pearse A. Keane - British Journal of Ophthalmology 2022 cited by 121

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

    Authors: Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane - Nature Machine Intelligence, Nat. Mach. Intell. 2021 cited by 169

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

    Authors: Edward Korot, Nikolas Pontikos, Xiaoxuan Liu, Siegfried K. Wagner, Livia Faes, Josef Huemer, Konstantinos Balaskas, Alastair K. Denniston, Anthony P. Khawaja, Pearse A. Keane - Scientific Reports 2021 cited by 141

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

    Authors: Nishtha Panwar, Philemon Huang, Jia Ying Lee, Pearse A. Keane, Tjin Swee Chuan, Ashutosh Richhariya, Stephen C. Teoh, Tock Han Lim, Rupesh Agrawal - Telemedicine Journal and e-Health 2015 cited by 299