This project examines the possible ethical implications of emerging machine learning technologies in medicine, as technological complexities underlying such ethical implications need to be translated into a language accessible to the broader public. The project also provides a description of machine learning that is intended to inform those who are not familiar with the technology. After analyzing some of the benefits of present and potential applications of machine learning in medicine, we call attention to issues such as explainability and interpretability
Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions ...
Pre-emptive recognition of the ethical implications of study design and algorithm choices in artifi...
Background: The use of Artificial Intelligence (hereinafter referred to as AI) is now at the core of...
The purpose of this research and its corresponding thesis is to give the reader a deeper understandi...
The application of machine learning is increasingly being developed for use in medicine, including f...
Artificial intelligence and brain-computer interfaces are two novel technologies that have numerous ...
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...
Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicin...
This paper provides an analysis of the way in which two foundational principles of medical ethics-th...
International audienceAI techniques -- and more specifically machine learning -- applied to the fiel...
Preemptive recognition of the ethical implications of study design and algorithm choices in artifici...
A recent United Kingdom survey reports that 63% of the adult population is uncomfortable with allowi...
In the biomedical industry, machine learning has grown in importance as a technology because it enab...
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algor...
Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions ...
Pre-emptive recognition of the ethical implications of study design and algorithm choices in artifi...
Background: The use of Artificial Intelligence (hereinafter referred to as AI) is now at the core of...
The purpose of this research and its corresponding thesis is to give the reader a deeper understandi...
The application of machine learning is increasingly being developed for use in medicine, including f...
Artificial intelligence and brain-computer interfaces are two novel technologies that have numerous ...
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...
Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicin...
This paper provides an analysis of the way in which two foundational principles of medical ethics-th...
International audienceAI techniques -- and more specifically machine learning -- applied to the fiel...
Preemptive recognition of the ethical implications of study design and algorithm choices in artifici...
A recent United Kingdom survey reports that 63% of the adult population is uncomfortable with allowi...
In the biomedical industry, machine learning has grown in importance as a technology because it enab...
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algor...
Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions ...
Pre-emptive recognition of the ethical implications of study design and algorithm choices in artifi...
Background: The use of Artificial Intelligence (hereinafter referred to as AI) is now at the core of...