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Addendum: International evaluation of an AI system for breast cancer screening

Author

Listed:
  • Scott Mayer McKinney

    (Google Health)

  • Marcin Sieniek

    (Google Health)

  • Varun Godbole

    (Google Health)

  • Jonathan Godwin

    (DeepMind)

  • Natasha Antropova

    (DeepMind)

  • Hutan Ashrafian

    (Imperial College London
    Imperial College London)

  • Trevor Back

    (DeepMind)

  • Mary Chesus

    (DeepMind)

  • Greg S. Corrado

    (Google Health)

  • Ara Darzi

    (Imperial College London
    Imperial College London
    Imperial College London)

  • Mozziyar Etemadi

    (Northwestern Medicine)

  • Florencia Garcia-Vicente

    (Northwestern Medicine)

  • Fiona J. Gilbert

    (University of Cambridge)

  • Mark Halling-Brown

    (Royal Surrey County Hospital)

  • Demis Hassabis

    (DeepMind)

  • Sunny Jansen

    (Verily Life Sciences)

  • Alan Karthikesalingam

    (Google Health)

  • Christopher J. Kelly

    (Google Health)

  • Dominic King

    (Google Health)

  • Joseph R. Ledsam

    (DeepMind)

  • David Melnick

    (Northwestern Medicine)

  • Hormuz Mostofi

    (Google Health)

  • Lily Peng

    (Google Health)

  • Joshua Jay Reicher

    (Stanford Health Care and Palo Alto Veterans Affairs)

  • Bernardino Romera-Paredes

    (DeepMind)

  • Richard Sidebottom

    (The Royal Marsden Hospital
    Thirlestaine Breast Centre)

  • Mustafa Suleyman

    (DeepMind)

  • Daniel Tse

    (Google Health)

  • Kenneth C. Young

    (Royal Surrey County Hospital)

  • Jeffrey Fauw

    (DeepMind)

  • Shravya Shetty

    (Google Health)

Abstract

No abstract is available for this item.

Suggested Citation

  • Scott Mayer McKinney & Marcin Sieniek & Varun Godbole & Jonathan Godwin & Natasha Antropova & Hutan Ashrafian & Trevor Back & Mary Chesus & Greg S. Corrado & Ara Darzi & Mozziyar Etemadi & Florencia G, 2020. "Addendum: International evaluation of an AI system for breast cancer screening," Nature, Nature, vol. 586(7829), pages 19-19, October.
    • Handle: RePEc:nat:nature:v:586:y:2020:i:7829:d:10.1038_s41586-020-2679-9
    DOI: 10.1038/s41586-020-2679-9
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Alexander P. L. Martindale & Carrie D. Llewellyn & Richard O. Visser & Benjamin Ng & Victoria Ngai & Aditya U. Kale & Lavinia Ferrante Ruffano & Robert M. Golub & Gary S. Collins & David Moher & Melis, 2024. "Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Minkyu Shin & Jin Kim & Bas van Opheusden & Thomas L. Griffiths, 2023. "Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty," Papers 2303.07462, arXiv.org, revised Apr 2023.
    3. Qianwei Zhou & Margarita Zuley & Yuan Guo & Lu Yang & Bronwyn Nair & Adrienne Vargo & Suzanne Ghannam & Dooman Arefan & Shandong Wu, 2021. "A machine and human reader study on AI diagnosis model safety under attacks of adversarial images," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. Juexiao Zhou & Haoyang Li & Xingyu Liao & Bin Zhang & Wenjia He & Zhongxiao Li & Longxi Zhou & Xin Gao, 2023. "A unified method to revoke the private data of patients in intelligent healthcare with audit to forget," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Armando Vargas-Palacios & Nisha Sharma & Gurdeep S. Sagoo, 2023. "Cost-effectiveness requirements for implementing artificial intelligence technology in the Women’s UK Breast Cancer Screening service," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Mélanie Roschewitz & Galvin Khara & Joe Yearsley & Nisha Sharma & Jonathan J. James & Éva Ambrózay & Adam Heroux & Peter Kecskemethy & Tobias Rijken & Ben Glocker, 2023. "Automatic correction of performance drift under acquisition shift in medical image classification," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    7. Yuming Jiang & Zhicheng Zhang & Wei Wang & Weicai Huang & Chuanli Chen & Sujuan Xi & M. Usman Ahmad & Yulan Ren & Shengtian Sang & Jingjing Xie & Jen-Yeu Wang & Wenjun Xiong & Tuanjie Li & Zhen Han & , 2023. "Biology-guided deep learning predicts prognosis and cancer immunotherapy response," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Shu Jiang & Jiguo Cao & Bernard Rosner & Graham A. Colditz, 2023. "Supervised two‐dimensional functional principal component analysis with time‐to‐event outcomes and mammogram imaging data," Biometrics, The International Biometric Society, vol. 79(2), pages 1359-1369, June.
    9. Sebastian Schleidgen & Orsolya Friedrich & Selin Gerlek & Galia Assadi & Johanna Seifert, 2023. "The concept of “interaction” in debates on human–machine interaction," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    10. Helen M. L. Frazer & Carlos A. Peña-Solorzano & Chun Fung Kwok & Michael S. Elliott & Yuanhong Chen & Chong Wang & Jocelyn F. Lippey & John L. Hopper & Peter Brotchie & Gustavo Carneiro & Davis J. McC, 2024. "Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    11. Joachim Meyer, 2024. "Doing AI: Algorithmic decision support as a human activity," Papers 2402.14674, arXiv.org, revised Apr 2024.
    12. Taynara de Oliveira Castellões & Paloma Maria Silva Rocha Rizol & Luiz Fernando Costa Nascimento, 2024. "Association between Premature Birth and Air Pollutants Using Fuzzy and Adaptive Neuro-Fuzzy Inference System (ANFIS) Techniques," Mathematics, MDPI, vol. 12(18), pages 1-12, September.
    13. Babak Abedin & Christian Meske & Iris Junglas & Fethi Rabhi & Hamid R. Motahari-Nezhad, 2022. "Designing and Managing Human-AI Interactions," Information Systems Frontiers, Springer, vol. 24(3), pages 691-697, June.

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