Sep 27, 2022 · In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for ...
In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for machine ...
Machine Learning may push research in precision medicine to unprecedented heights. To succeed, machine learning needs a large amount of data, often including ...
Sep 27, 2022 · In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for ...
People also ask
What are the applications of machine learning in medicine?
Which of the following is an application of machine learning in healthcare?
Informed consent is a more complex process that involves nondelegable duties and varies in scope based on the type of test, treatment, or procedure involved.
Missing: Active | Show results with:Active
Jan 8, 2024 · It seems appropriate to consider how AI can concretely integrate into the proposal for informed consent to treatment, responding to the dilemma ...
Missing: Boost | Show results with:Boost
Jan 10, 2024 · In this study, we present the experience of the largest health care system in the state of Rhode Island in implementing AI to improve the readability of ...
Missing: Active | Show results with:Active
Active Informed Consent to Boost the Application of Machine Learning in Medicine · Implementing Machine Learning in Health Care - Addressing Ethical Challenges.
Apr 25, 2024 · We argue that there is a strong prima facie case that the use of continuous learning in medical ML systems should be categorized, and regulated, as research.
To respect patient autonomy and informed decision-making, hospitals should explicitly mention in their general consent to treatment forms whether they use AI.
Missing: Boost | Show results with:Boost