AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 111 to 120 of 147 articles

A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis.

Frontiers in artificial intelligence
AI virtual assistants have significant potential to alleviate the pressure on overly burdened healthcare systems by enabling patients to self-assess their symptoms and to seek further care when appropriate. For these systems to make a meaningful cont...

Using Word Embeddings to Learn a Better Food Ontology.

Frontiers in artificial intelligence
Food ontologies require significant effort to create and maintain as they involve manual and time-consuming tasks, often with limited alignment to the underlying food science knowledge. We propose a semi-supervised framework for the automated ontolog...

Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.

Frontiers in artificial intelligence
Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in endometrial cancer risk prediction and stratification to help in screening and prevention. Previous risk models have had moderate success with the ar...

Machine Learning Approaches Reveal That the Number of Tests Do Not Matter to the Prediction of Global Confirmed COVID-19 Cases.

Frontiers in artificial intelligence
Coronavirus disease 2019 (COVID-19) has developed into a global pandemic, affecting every nation and territory in the world. Machine learning-based approaches are useful when trying to understand the complexity behind the spread of the disease and ho...

On the use of AI for Generation of Functional Music to Improve Mental Health.

Frontiers in artificial intelligence
Increasingly music has been shown to have both physical and mental health benefits including improvements in cardiovascular health, a link to reduction of cases of dementia in elderly populations, and improvements in markers of general mental well-be...

Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0.

Frontiers in artificial intelligence
The exploitation of big volumes of data in Industry 4.0 and the increasing development of cognitive systems strongly facilitate the realm of predictive maintenance for real-time decisions and early fault detection in manufacturing and production. Cog...

Deep Learning for Understanding Satellite Imagery: An Experimental Survey.

Frontiers in artificial intelligence
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in computer vision...

Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead.

Frontiers in artificial intelligence
Prognostic and Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution. Efficiently detecting whether an industrial component has deviated from its normal operating condition or predicting when a fault will oc...

An Interpretable Predictive Model of Vaccine Utilization for Tanzania.

Frontiers in artificial intelligence
Providing accurate utilization forecasts is key to maintaining optimal vaccine stocks in any health facility. Current approaches to vaccine utilization forecasting are based on often outdated population census data, and rely on weak, low-dimensional ...

Creating Music With Fuzzy Logic.

Frontiers in artificial intelligence
Fuzzy logic is an artificial intelligence technique that has applications in many areas, due to its importance in handling uncertain inputs. Despite the great recent success of other branches of AI, such as deep neural networks, fuzzy logic is still ...