Public Health & Policy

Ethics

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

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Showing 316-336 of 2,830 articles
A semiempirical and machine learning approach for fragment-based structural analysis of non-hydroxamate HDAC3 inhibitors.

Interest in HDAC3 inhibitors (HDAC3i) for pharmacological applications outside of cancer is growing....

Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques.

Azoospermia, defined by the absence of sperm in the ejaculate, manifests as obstructive azoospermia ...

Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT.

PURPOSE: This study aims to explore the potential of non-contrast abdominal CT radiomics and deep le...

Vertical federated learning based on data subset representation for healthcare application.

BACKGROUND AND OBJECTIVE: Artificial intelligence is increasingly essential for disease classificati...

Deep Learning Radiomics for Survival Prediction in Non-Small-Cell Lung Cancer Patients from CT Images.

This study aims to apply a multi-modal approach of the deep learning method for survival prediction ...

Machine Learning-Enabled Non-Invasive Screening of Tumor-Associated Circulating Transcripts for Early Detection of Colorectal Cancer.

Colorectal cancer (CRC) is a major cause of cancer-related mortality, highlighting the need for accu...

AI Ethics beyond Principles: Strengthening the Life-world Perspective.

The search for ethical guidance in the development of artificial intelligence (AI) systems, especial...

UnBias: Unveiling Bias Implications in Deep Learning Models for Healthcare Applications.

The rapid integration of deep learning-powered artificial intelligence systems in diverse applicatio...

Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts.

Due to ethnic heterogeneity in genetic architecture, genetic risk score (GRS) constructed within the...

AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation.

BACKGROUND: With artificial intelligence (AI) increasingly revolutionising medicine, this study crit...

Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks.

Semi-supervised learning with a graph-based approach has become increasingly popular in machine lear...

Integrated machine learning-based optimization framework for surface water quality index comparing coastal and non-coastal cases of Guangxi, China.

In this study, an optimized comprehensive water quality index (WQI) model framework is developed, wh...

Exploring ethical considerations in medical research: Harnessing pre-generated transformers for AI-powered ethics discussions.

INTRODUCTION: In medical research involving human subjects, ethical review is essential to protect i...

Visio-spatial intelligence skills in non-athletes versus amateur boxers.

BACKGROUND: Visio-spatial intelligence (VSI) skills, including abilities such as spatial awareness, ...

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Autism Spectrum Disorder (ASD) is a neurological condition, with recent statistics from the CDC indi...

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