Public Health & Policy

Ethics

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

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The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently availabl...

A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

One of the main problems of the decellularization technique is the subjectivity of the final evaluat...

Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.

OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in ...

Non-fragile state estimation for fractional-order delayed memristive BAM neural networks.

This paper deals with the non-fragile state estimation problem for a class of fractional-order memri...

Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach.

Bushfires are becoming more frequent and intensive due to changing climate. Those that occur close t...

Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response.

BACKGROUND: Identification of functional non-coding variants and their mechanistic interpretation is...

Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preter...

Data-driven self-calibration and reconstruction for non-cartesian wave-encoded single-shot fast spin echo using deep learning.

BACKGROUND: Current self-calibration and reconstruction methods for wave-encoded single-shot fast sp...

Building the case for actionable ethics in digital health research supported by artificial intelligence.

The digital revolution is disrupting the ways in which health research is conducted, and subsequentl...

Identifying non-O157 Shiga toxin-producing Escherichia coli (STEC) using deep learning methods with hyperspectral microscope images.

Non-O157 Shiga toxin-producing Escherichia coli (STEC) serogroups such as O26, O45, O103, O111, O121...

Using Deep Neural Networks to Reconstruct Non-uniformly Sampled NMR Spectra.

Non-uniform and sparse sampling of multi-dimensional NMR spectra has over the last decade become an ...

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.

PURPOSE: To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason...

Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks.

State Visual Evoked Potentials (SSVEPs) arise from a resonance phenomenon in the visual cortex that ...

Cancer classification and pathway discovery using non-negative matrix factorization.

OBJECTIVES: Extracting genetic information from a full range of sequencing data is important for und...

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain.

Mapping the motor cortex with transcranial magnetic stimulation (TMS) has potential to interrogate m...

Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.

PURPOSE: To explore the feasibility and performance of machine learning-based radiomics classifier t...

Welcoming Robots into the Moral Circle: A Defence of Ethical Behaviourism.

Can robots have significant moral status? This is an emerging topic of debate among roboticists and ...

Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk ...

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