Ethics

Mapping ethico-legal principles for the use of artificial intelligence in gastroenterology.

The rapid development of artificial intelligence (AI) and digital health raise concerns about equita...

High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, tr...

Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflam...

Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Artificial intelligence (AI) has become increasingly widespread in our daily lives, including health...

Achieving Equitable Access to Medicines and Health Services: A COVID-19-time Recalled Matter.

In the 21 century, while some people seek to use artificial intelligence for health services deliver...

[Ethics of (big) data applications in psychiatric practice].

BACKGROUND: Due to rapid digitalization, an increasing amount of data is available in healthcare set...

Reflections around ethics, human intelligence and artificial intelligence.

On the internet, artificial intelligence has grown to become a program with codes and algorithms tha...

Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach.

Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain ...

Security robot for the prevention of workplace violence using the Non-linear Adaptive Heuristic Mathematical Model.

BACKGROUND: Nowadays, workplace violence is found to be a mental health hazard and considered a cruc...

Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods.

BACKGROUND: Advanced machine learning methods can aid in the identification of dementia risk using n...

Robots and sexual ethics.

Prestigious AI meeting takes steps to improve ethics of research.

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Accumulating evidence demonstrates the impact of bias that reflects social inequality on the perform...

[Artificial intelligence as a support for non-pharmacological interventions against COVID-19].

AI Ethics Is Not a Panacea.

Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications.

Machine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics.

The Ethics of Socially Assistive Robots in Aged Care. A Focus Group Study With Older Adults in Flanders, Belgium.

OBJECTIVES: Socially assistive robots (SARs) need to be studied from older adults' perspective, give...

Limits of Neural Computation in Humans and Machines.

Aicardi et al. (Ethical and social aspects of neurorobotics, Science and Engineering Ethics, 2020) l...

Landscape of Machine Implemented Ethics.

This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to impleme...

Gene set analysis methods for the functional interpretation of non-mRNA data-Genomic range and ncRNA data.

Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics s...