Public Health & Policy

Ethics

Latest AI and machine learning research in ethics for healthcare professionals.

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Showing 1954-1974 of 2,862 articles
Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification.

Accurate segmentation of lung tumors is essential for advancing personalized medicine in non-small c...

[Rethinking scientific integrity in plastic surgery: Reflections on editorial and institutional responsibilities].

Plastic surgery, by nature an innovative discipline, has historically relied on clinical case report...

Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.

Sepsis is a life-threatening disease caused by the dysregulation of the immune response. It is impor...

An informed machine learning based environmental risk score for hypertension in European adults.

BACKGROUND: The exposome framework seeks to unravel the cumulated effects of environmental exposures...

Evaluating crash risk factors of farm equipment vehicles on county and non-county roads using interpretable tabular deep learning (TabNet).

Crashes involving farm equipment vehicles are a significant safety concern on public roads, particul...

Zero-shot 3D anomaly detection via online voter mechanism.

3D anomaly detection aims to solve the problem that image anomaly detection is greatly affected by l...

Semi-supervised non-negative matrix factorization with structure preserving for image clustering.

Semi-supervised learning methods have wide applications thanks to the reasonable utilization for a p...

LMP-GAN: Out-of-Distribution Detection for Non-Control Data Malware Attacks.

Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection i...

StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation.

Federated learning is a distributed learning framework that takes full advantage of private data sam...

Approximation by non-symmetric networks for cross-domain learning.

For the past 30 years or so, machine learning has stimulated a great deal of research in the study o...

Foundation models in pathology: bridging AI innovation and clinical practice.

Foundation models are revolutionising pathology by leveraging large-scale, pretrained artificial int...

The machine learning prediction model of non-alcoholic fatty liver; the role of hydrogen and methane breath tests.

Nonalcoholic fatty liver disease (NAFLD) is now the leading cause of global chronic liver disease, a...

[Research progress of panoramic evaluation of medical artificial intelligence].

Artificial intelligence (AI) has advantages such as improving work performance, enhancing time effic...

Proactive vs. passive algorithmic ethics practices in healthcare: the moderating role of healthcare engagement type in patients' responses.

BACKGROUND: Artificial intelligence (AI) is transforming healthcare, but concerns about algorithmic ...

Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.

Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularl...

Development of Machine Learning-Based Models for Mutagenicity Predictions with Applications to Non-Sugar Sweeteners.

Artificial sweeteners, often known as non-sugar sweeteners (NSSs), have been utilized as food additi...

The legal and ethical considerations in cross-border telesurgical procedures.

Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabl...

Development and Validation of a Scale for Nurses' Ethical Awareness in The Use of Artificial Intelligence: A Methodological Study.

The integration of artificial intelligence in nursing practice presents significant ethical challeng...

Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?

Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...

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