Public Health & Policy

Ethics

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

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NATE: Non-pArameTric approach for Explainable credit scoring on imbalanced class.

Credit scoring models play a crucial role for financial institutions in evaluating borrower risk and...

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT.

Distinguishing between primary adenocarcinoma (AC) and squamous cell carcinoma (SCC) within non-smal...

Generation of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy.

This paper presents a novel approach for generating virtual non-contrast planning computed tomograph...

Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm.

Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predic...

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data.

BACKGROUND: Medical narratives are fundamental to the correct identification of a patient's health c...

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support ep...

Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.

Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense prom...

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains...

Decoding thoughts, encoding ethics: A narrative review of the BCI-AI revolution.

OBJECTIVES: This narrative review aims to analyze mechanisms underlying Brain-Computer Interface (BC...

Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study.

BACKGROUND: Existing biomarkers and models for predicting response to programmed cell death protein ...

Healthcare ethics and artificial intelligence: a UK doctor survey.

OBJECTIVES: To survey UK doctors on their uses of artificial intelligence (AI) and of their views on...

The Role of ctDNA in the Management of Non-Small-Cell Lung Cancer in the AI and NGS Era.

Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a mini...

Enhancing classification of active and non-active lesions in multiple sclerosis: machine learning models and feature selection techniques.

INTRODUCTION: Gadolinium-based T1-weighted MRI sequence is the gold standard for the detection of ac...

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