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15 ta ish

Ish: Challenges and Opportunities for AI in Healthcare

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

    Eric J. Topol

    Sharh maqola201810 iqtibos
    ABI

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

    Bryce Goodman, Seth Flaxman

    Maqola20175 iqtibos
    ABI

  3. Federated Machine Learning

    Qiang Yang, Yang Liu, Tianjian Chen +1

    Maqola20195 iqtibos
    ABI

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

    Cynthia Rudin

    Maqola20195 iqtibos
    ABI

  5. The Algorithmic Foundations of Differential Privacy

    Cynthia Dwork, Aaron Roth

    Maqola20145 iqtibos
    ABI

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

    Scott Mayer McKinney, Marcin Sieniek, Varun Godbole +28

    Maqola20203 iqtibos
    ABI

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

    Danton Char, Nigam H. Shah, David Magnus

    Maqola20183 iqtibos
    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

    Maqola20142 iqtibos
    ABI

  9. Adversarial attacks on medical machine learning

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

    Maqola20192 iqtibos
    ABI

  10. The future of digital health with federated learning

    Nicola Rieke, Jonny Hancox, Wenqi Li +14

    Maqola20202 iqtibos
    ABI

  11. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  12. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  13. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  14. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  15. Sarlavhasiz

    Boshqa1 iqtibos
    ABI