AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 81 to 90 of 147 articles

Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring.

Frontiers in artificial intelligence
Manual sleep staging (MSS) using polysomnography is a time-consuming task, requires significant training, and can lead to significant variability among scorers. STAGER is a software program based on machine learning algorithms that has been developed...

Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data.

Frontiers in artificial intelligence
INTRODUCTION: The COVID-19 pandemic had a global impact and created an unprecedented emergency in healthcare and other related frontline sectors. Various Artificial-Intelligence-based models were developed to effectively manage medical resources and ...

Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI.

Frontiers in artificial intelligence
Artificial Intelligence (AI) has become ubiquitous in human society, and yet vast segments of the global population have no, little, or counterproductive information about AI. It is necessary to teach AI topics on a mass scale. While there is a rush ...

Corrigendum: Opportunities for human factors in machine learning.

Frontiers in artificial intelligence
[This corrects the article DOI: 10.3389/frai.2023.1130190.].

Does artificial intelligence kill employment growth: the missing link of corporate AI posture.

Frontiers in artificial intelligence
INTRODUCTION: An intense debate has been on-going about how artificial intelligence (AI) technology investments have an impact on employment. The debate has often focused on the potential of AI for human task automation, omitting the strategic incent...

Graph embedding and geometric deep learning relevance to network biology and structural chemistry.

Frontiers in artificial intelligence
Graphs are used as a model of complex relationships among data in biological science since the advent of systems biology in the early 2000. In particular, graph data analysis and graph data mining play an important role in biology interaction network...

Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine.

Frontiers in artificial intelligence
The integration of large language models (LLMs) and artificial intelligence (AI) into scientific writing, especially in medical literature, presents both unprecedented opportunities and inherent challenges. This manuscript evaluates the transformativ...

Understanding the need for digital twins' data in patient advocacy and forecasting oncology.

Frontiers in artificial intelligence
Digital twins are made of a real-world component where data is measured and a virtual component where those measurements are used to parameterize computational models. There is growing interest in applying digital twins-based approaches to optimize p...

Considerations on the regulation of AI systems in the financial sector by the AI Act.

Frontiers in artificial intelligence
The proposal for the Artificial Intelligence regulation in the EU (AI Act) is a horizontal legal instrument that aims to regulate, according to a tailored risk-based approach, the development and use of AI systems across a plurality of sectors, inclu...

Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023.

Frontiers in artificial intelligence
BACKGROUND: With the rapid development of the internet, the improvement of computer capabilities, and the continuous advancement of algorithms, deep learning has developed rapidly in recent years and has been widely applied in many fields. Previous s...