AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 131 to 140 of 147 articles

College Football Overtime Outcomes: Implications for In-Game Decision-Making.

Frontiers in artificial intelligence
The use of AI and machine learning in sports is increasingly prevalent, including their use for in-game strategy and tactics. This paper reports on the use of machine learning techniques, applying it to analysis of U.S. Division I-A College Football ...

The Greatest Challenge to Using AI/ML for Primary Health Care: Mindset or Datasets?

Frontiers in artificial intelligence
The global vision for primary health care (PHC) is defined by regular access to quality care for comprehensive services throughout the course of life. However, this is not what typically happens, especially in low- and middle-income countries, where ...

Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development.

Frontiers in artificial intelligence
SARS-COV-2 has roused the scientific community with a call to action to combat the growing pandemic. At the time of this writing, there are as yet no novel antiviral agents or approved vaccines available for deployment as a frontline defense. Underst...

A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population.

Frontiers in artificial intelligence
progress of fetal development is normally assessed through manual measurements taken from ultrasound images, requiring relatively expensive equipment and well-trained personnel. Such monitoring is therefore unavailable in low- and middle-income coun...

There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks.

Frontiers in artificial intelligence
Artificial Intelligence (AI) plays a fundamental role in the modern world, especially when used as an autonomous decision maker. One common concern nowadays is "how trustworthy the AIs are." Human operators follow a strict educational curriculum and ...

Unanswerable Questions About Images and Texts.

Frontiers in artificial intelligence
Questions about a text or an image that cannot be answered raise distinctive issues for an AI. This note discusses the problem of unanswerable questions in VQA (visual question answering), in QA (textual question answering), and in AI generally.

An Interactive Visualization for Feature Localization in Deep Neural Networks.

Frontiers in artificial intelligence
Deep artificial neural networks have become the go-to method for many machine learning tasks. In the field of computer vision, deep convolutional neural networks achieve state-of-the-art performance for tasks such as classification, object detection,...

General Northern English. Exploring Regional Variation in the North of England With Machine Learning.

Frontiers in artificial intelligence
In this paper, we present a novel computational approach to the analysis of accent variation. The case study is dialect leveling in the North of England, manifested as reduction of accent variation across the North and emergence of General Northern E...

Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis.

Frontiers in artificial intelligence
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover...

An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theories With the Free Energy Principle and Active Inference Framework; Toward Solving the Hard Problem and Characterizing Agentic Causation.

Frontiers in artificial intelligence
The Free Energy Principle and Active Inference Framework (FEP-AI) begins with the understanding that persisting systems must regulate environmental exchanges and prevent entropic accumulation. In FEP-AI, minds and brains are predictive controllers fo...