AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 101 to 110 of 147 articles

Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health.

Frontiers in artificial intelligence
In Low- and Middle- Income Countries (LMICs), machine learning (ML) and artificial intelligence (AI) offer attractive solutions to address the shortage of health care resources and improve the capacity of the local health care infrastructure. However...

Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food.

Frontiers in artificial intelligence
In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of-the-art and some use cases, followed by a discussion of challe...

RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment.

Frontiers in artificial intelligence
Refurbishment and remanufacturing are the industrial processes whereby used products or parts that constitute the product are restored. Remanufacturing is the process of restoring the functionality of the product or a part of it to "as-new" quality, ...

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment.

Frontiers in artificial intelligence
Jazz improvisation on a given lead sheet with chords is an interesting scenario for studying the behaviour of artificial agents when they collaborate with humans. Specifically in jazz improvisation, the role of the accompanist is crucial for reflecti...

Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy.

Frontiers in artificial intelligence
To assess image quality and uncertainty in organ-at-risk segmentation on cone beam computed tomography (CBCT) enhanced by deep-learning convolutional neural network (DCNN) for head and neck cancer. An in-house DCNN was trained using forty post-oper...

Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.

Frontiers in artificial intelligence
We show how complexity theory can be introduced in machine learning to help bring together apparently disparate areas of current research. We show that this model-driven approach may require less training data and can potentially be more generalizabl...

AI Data-Driven Personalisation and Disability Inclusion.

Frontiers in artificial intelligence
This study aims to help people working in the field of AI understand some of the unique issues regarding disabled people and examines the relationship between the terms "Personalisation" and "Classification" with regard to disability inclusion. Class...

AI for Improving Children's Health: A Community Case Study.

Frontiers in artificial intelligence
The Indian health care system lacks the infrastructure to meet the health care demands of the country. Physician and nurse availability is 30 and 50% below WHO recommendations, respectively, and has led to a steep imbalance between the demand for hea...

Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status.

Frontiers in artificial intelligence
The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural...

Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning.

Frontiers in artificial intelligence
(FD) is a grapevine disease caused by phytoplasmas and transmitted by leafhoppers that has been spreading in European vineyards despite significant efforts to control it. In this study, we aim to develop a model for the automatic detection of FD-lik...