Ethics

Artificial Intelligence and Ophthalmology.

Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This review discusses developments and potential practices regarding the use of artificial intelligence in the field of ophthalmology, and the related topic of medical ethics. Various artificial intelligence applications related to the diagnosis of eye diseases were researched in books, journals, search en...

On the ethics of AI ethics.

Ethics in the Era of Artificial Intelligence.

Ethics can be interesting and fascinatingly compelling because of the subtle natures of its solutions in ambiguous situations. Articles on ethical iss...

Artificial Intelligence in Service of Human Needs: Pragmatic First Steps Toward an Ethics for Semi-Autonomous Agents.

The ethics of robots and artificial intelligence (AI) typically centers on "giving ethics" to as-yet imaginary AI with human-levels of autonomy in ord...

AI Methods in Bioethics.

Ethical Issues Raised by the Introduction of Artificial Companions to Older Adults with Cognitive Impairment: A Call for Interdisciplinary Collaborations.

Due to the high costs of providing long-term care to older adults with cognitive impairment, artificial companions are increasingly considered as a co...

Addressing the Ethics of Telepresence Applications Through End-User Engagement.

Portacolone et al.'s Ethics Review highlights the ethical challenges associated with the implementation of telepresence devices and applications in th...

Deep convolutional neural network for reduction of contrast-enhanced region on CT images.

This study aims to produce non-contrast computed tomography (CT) images using a deep convolutional neural network (CNN) for imaging. Twenty-nine patie...

Healing Relationships.

In a 2015 Hastings Center Report essay, Robert Truog and his coauthors argued that the clinical ethics portion of medical education should cast both a...

Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Clinical text de-identification enables collaborative research while protecting patient privacy and confidentiality; however, concerns persist about t...

[Model-based treatment in surgery].

BACKGROUND: The "magic triangle" in surgery and other disciplines consists of the demand for increasingly gentler forms of treatment, simultaneous cos...

Artificial intelligence (AI) in healthcare and biomedical research: Why a strong computational/AI bioethics framework is required?

[Ethics and artificial intelligence in healthcare, towards positive regulation].

The positive regulation of artificial intelligence in healthcare represents a major stake to allow a diffusion of digital innovation, in a spirit of o...

[Bigdata, artificial intelligence and blockchain for dummies].

Digitalization is transforming every aspect of life, it is also transforming deeply medicine. The digitalization era is characterized by a large produ...

How Bioethics Can Shape Artificial Intelligence and Machine Learning.

Artificial intelligence and machine learning have the potential to revolutionize the delivery of health care. But designing machine learning-based dec...

Fetal MRI Synthesis via Balanced Auto-Encoder Based Generative Adversarial Networks.

Machine learning approaches for image analysis require large amounts of training imaging data. As an alternative, the use of realistic synthetic data ...

Medicine and technology. Remarks on the notion of responsibility in the technology-assisted health care.

The introduction of the modern diagnostic and therapeutic procedures to the medical practice provided a new challenge for the medicine. The art of med...

Predictive Factors for Post-Ischemic Compartment Syndrome in Non-Traumatic Acute Limb Ischemia in a Lower Extremity.

: Compartment syndrome (CS) is serious complication following revascularization of acute limb ischemia (ALI). However, predictive factors associated w...

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables.

Evaluating whether machines improve on human performance is one of the central questions of machine learning. However, there are many domains where th...

De-identification of patient notes with recurrent neural networks.

OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority o...