Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse co...
Machine learning (ML) is a powerful and flexible tool that can be used to analyze and predict outcom...
Machine learning applications promise to augment clinical capabilities and at least 64 models have a...
A recent United Kingdom survey reports that 63% of the adult population is uncomfortable with allowi...
This paper provides an analysis of the way in which two foundational principles of medical ethics-th...
This project examines the possible ethical implications of emerging machine learning technologies in...
The purpose of this research and its corresponding thesis is to give the reader a deeper understandi...
In the biomedical industry, machine learning has grown in importance as a technology because it enab...
The application of machine learning is increasingly being developed for use in medicine, including f...
In this paper, we examine the qualitative moral impact of machine learning-based clinical decision s...
Medicine is becoming an increasingly data-centred discipline and, beyond classical statistical appro...
Based at the intersection of AI ethics and bioethics, this cumulative doctoral thesis investigates t...
Diagnosis and clinical decision-making based on Machine Learning technologies are showing significan...
While interest in the application of machine learning to improve healthcare has grown tremendously i...
While interest in the application of machine learning to improve healthcare has grown tremendously i...
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse co...
Machine learning (ML) is a powerful and flexible tool that can be used to analyze and predict outcom...
Machine learning applications promise to augment clinical capabilities and at least 64 models have a...
A recent United Kingdom survey reports that 63% of the adult population is uncomfortable with allowi...
This paper provides an analysis of the way in which two foundational principles of medical ethics-th...
This project examines the possible ethical implications of emerging machine learning technologies in...
The purpose of this research and its corresponding thesis is to give the reader a deeper understandi...
In the biomedical industry, machine learning has grown in importance as a technology because it enab...
The application of machine learning is increasingly being developed for use in medicine, including f...
In this paper, we examine the qualitative moral impact of machine learning-based clinical decision s...
Medicine is becoming an increasingly data-centred discipline and, beyond classical statistical appro...
Based at the intersection of AI ethics and bioethics, this cumulative doctoral thesis investigates t...
Diagnosis and clinical decision-making based on Machine Learning technologies are showing significan...
While interest in the application of machine learning to improve healthcare has grown tremendously i...
While interest in the application of machine learning to improve healthcare has grown tremendously i...
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse co...
Machine learning (ML) is a powerful and flexible tool that can be used to analyze and predict outcom...
Machine learning applications promise to augment clinical capabilities and at least 64 models have a...
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