Public Health & Policy

Ethics

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

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Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing de...

Machine learning to risk stratify chest pain patients with non-diagnostic electrocardiogram in an Asian emergency department.

INTRODUCTION: Elevated troponin, while essential for diagnosing myocardial infarction, can also be p...

Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.

Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicid...

Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database.

BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic lay...

The phase-seeding method for solving non-centrosymmetric crystal structures: a challenge for artificial intelligence.

The overall crystallographic process involves acquiring experimental data and using crystallographic...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications ...

Enhancing security in electromagnetic radiation therapy using fuzzy graph theory.

This research investigates the application of fuzzy graph theory to address critical security challe...

Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments.

Existing research on decision-making of autonomous vehicles (AVs) has mainly focused on normal road ...

Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma.

BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung can...

Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients.

Radiographic imaging is a non-invasive technique of considerable importance for evaluating tumor tre...

UGV-NBWASTE: An oriented dataset for non-biodegradable waste in Bangladesh.

The "UGV-NBWASTE" dataset is built for those who manage non-biodegradable waste. The selection of no...

Deep Learning Approach Readily Differentiates Papilledema, Non-Arteritic Anterior Ischemic Optic Neuropathy, and Healthy Eyes.

OBJECTIVE: Deep learning (DL) has been used in differentiating a range of ophthalmic conditions. We ...

Using the counterfactual framework to estimate non-intention-to-treat estimands in randomised controlled trials: A methodological scoping review.

BACKGROUND: Randomised controlled trials (RCTs) commonly estimate intention-to-treat (ITT) estimands...

Ethics of biohybrid robotics and invertebrate research: biohybrid robotic jellyfish as a case study.

Invertebrate research ethics has largely been ignored compared to the consideration of higher order ...

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