Public Health & Policy

Ethics

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

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A hybrid object detection approach for visually impaired persons using pigeon-inspired optimization and deep learning models.

Visually challenged persons include a significant part of the population, and they exist all over th...

Multitask learning model for predicting non-coding RNA-disease associations: Incorporating local and global context.

Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are crucial non-coding RNAs involved in variou...

Non-customized data asset evaluation based on knowledge graph and value entropy.

With the rapid expansion of non-customized data assets, developing reliable and objective methods fo...

Estimating the causal impact of non-pharmaceutical interventions on COVID-19 spread in seven EU countries via machine learning.

During the COVID-19 pandemic, Non-Pharmaceutical Interventions (NPIs) were imposed all over Europe w...

An artificial intelligence-informed proof of concept model for an ecological framework of healthy longevity forcing factors in the United States.

Unhealthy lifestyle behaviors are a doorway to downstream health consequences characterized by the f...

Deep learning-based automated segmentation of cardiac real-time MRI in non-human primates.

Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascul...

Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies.

PURPOSE: This study aimed to select robust features against lung motion in a phantom study and use t...

Global Cross-Entropy Loss for Deep Face Recognition.

Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, desig...

Non-Face-to-Face Services in Neurologic Care.

Neurologists in ambulatory settings struggle with low appointment availability and increased work re...

An explainable non-invasive hybrid machine learning framework for accurate prediction of thyroid-stimulating hormone levels.

Machine learning models, including thyroid biomarkers, are increasingly utilized in healthcare for b...

Machine Learning Predicts Non-Preferred and Preferred Vertebrate Hosts of Tsetse Flies (Glossina spp.) Based on Skin Volatile Emission Profiles.

Tsetse fly vectors of African trypanosomosis preferentially feed on certain vertebrates largely dete...

Temporal Contrastive Learning through implicit non-equilibrium memory.

The backpropagation method has enabled transformative uses of neural networks. Alternatively, for en...

Deep learning based image enhancement for dynamic non-Cartesian MRI: Application to "silent" fMRI.

Radial based non-Cartesian sequences may be used for silent functional MRI examinations particularly...

Ethics in Patient Preferences for Artificial Intelligence-Drafted Responses to Electronic Messages.

IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to...

Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma - a cohort analysis with machine learning.

BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possi...

Artificial intelligence based predictive tools for identifying type 2 diabetes patients at high risk of treatment Non-adherence: A systematic review.

AIMS: Several Artificial Intelligence (AI) based predictive tools have been developed to predict non...

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