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15 та иш

Иш: Challenges and Opportunities for AI in Healthcare

  1. High-performance medicine: the convergence of human and artificial intelligence

    Eric J. Topol

    Шарҳ мақола201810 иқтибос
    ABI

  2. European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

    Bryce Goodman, Seth Flaxman

    Мақола20175 иқтибос
    ABI

  3. Federated Machine Learning

    Qiang Yang, Yang Liu, Tianjian Chen +1

    Мақола20195 иқтибос
    ABI

  4. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

    Cynthia Rudin

    Мақола20195 иқтибос
    ABI

  5. The Algorithmic Foundations of Differential Privacy

    Cynthia Dwork, Aaron Roth

    Мақола20145 иқтибос
    ABI

  6. International evaluation of an AI system for breast cancer screening

    Scott Mayer McKinney, Marcin Sieniek, Varun Godbole +28

    Мақола20203 иқтибос
    ABI

  7. Implementing Machine Learning in Health Care — Addressing Ethical Challenges

    Danton Char, Nigam H. Shah, David Magnus

    Мақола20183 иқтибос
    ABI

  8. The Legal And Ethical Concerns That Arise From Using Complex Predictive Analytics In Health Care

    I. Glenn Cohen, Ruben Amarasingham, Anand Shah +2

    Мақола20142 иқтибос
    ABI

  9. Adversarial attacks on medical machine learning

    Samuel G. Finlayson, John D. Bowers, Joichi Ito +3

    Мақола20192 иқтибос
    ABI

  10. The future of digital health with federated learning

    Nicola Rieke, Jonny Hancox, Wenqi Li +14

    Мақола20202 иқтибос
    ABI

  11. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  14. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  15. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI