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Machine Learning-Induced Epistemic Injustice in Medicine and Healthcare
G. Pozzi
Ethics & Philosophy of Technology
Research output
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Thesis
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Dissertation (TU Delft)
107
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INIS
machine learning
100%
medicine
100%
patients
42%
interactions
28%
decision making
28%
ethics
14%
implementation
14%
conveyors
14%
Arts and Humanities
Health Care
100%
Machines
100%
Patients
42%
Decision-Making
28%
Medical Practice
14%
Credibility
14%
Trust
14%
Advancement
14%
Mathematics
Healthcare
100%
Imbalance
66%
Medical Practice
33%
Social Sciences
Health Care
100%
Receivers
14%
Medical Decision Making
14%
Nursing and Health Professions
Artificial Intelligence
50%
Medical Decision Making
50%
Medicine and Dentistry
Comprehension
14%
Medical Decision Making
14%