Public Health & Policy

Ethics

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

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Showing 484-504 of 2,833 articles
Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI.

Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure pe...

Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data.

BACKGROUND: Despite decades of pursuing health equity, racial and ethnic disparities persist in heal...

Design of a Trustworthy Cloud-Native National Digital Health Information Infrastructure for Secure Data Management and Use.

Since 2022, Malawi Ministry of Health (MoH) designated the development of a National Digital Health ...

A protocol for trustworthy EEG decoding with neural networks.

Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performanc...

A survey on representation learning for multi-view data.

Multi-view clustering has become a rapidly growing field in machine learning and data mining areas b...

Mapping Spatiotemporal Disparities in Residential Electricity Inequality Using Machine Learning.

The move toward electrification is critical for decarbonizing the energy sector but may exacerbate e...

Predicting Portal Pressure Gradient in Patients with Decompensated Cirrhosis: A Non-invasive Deep Learning Model.

BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to...

Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network.

OBJECTIVE: To investigate how different combinations of T1-weighted (T1w), T2-weighted (T2w), and di...

Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach.

BACKGROUND: The clinical care process for people with prediabetes starts with lifestyle intervention...

Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems.

We introduce a method for training exactly conservative physics-informed neural networks and physics...

Decoding wheat contamination through self-assembled whole-cell biosensor combined with linear and non-linear machine learning algorithms.

The contamination of mycotoxins is a serious problem around the world. It has detrimental effects on...

Assessment of machine learning classifiers for predicting intraoperative blood transfusion in non-cardiac surgery.

BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative ...

Non-invasive brain-machine interface control with artificial intelligence copilots.

Motor brain-machine interfaces (BMIs) decode neural signals to help people with paralysis move and c...

Neonatal bioethics, AI, and genomics.

Artificial intelligence (AI) and synthetic biology will transform civilization. The only question is...

Federated learning-based prediction of depression among adolescents across multiple districts in China.

Depression in adolescents is a serious mental health condition that can affect their emotional and s...

Justice-centered best practices for accessibility to public buildings in a tier II city: Insights from a Delphi expert consensus.

BACKGROUND: Despite beneficial progress in policies, awareness and advocacy, accessibility gaps exis...

Representation of non-coding RNA-mediated regulation of gene expression using the Gene Ontology.

Regulatory non-coding RNAs (ncRNAs) are increasingly recognized as integral to the control of biolog...

A deep learning approach for non-invasive Alzheimer's monitoring using microwave radar data.

Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...

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