AI Medical Compendium Journal:
Frontiers in artificial intelligence

Showing 91 to 100 of 147 articles

COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control.

Frontiers in artificial intelligence
COVID-19 has brought significant changes to our political, social, and technological landscape. This paper explores the emergence and global spread of the disease and focuses on the role of Artificial Intelligence (AI) in containing its transmission....

Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing.

Frontiers in artificial intelligence
The paper explores and comments on the theoretical concept of human-machine-teaming in intelligent manufacturing. Industrial production is an important area of work applications and should be developed toward a more anthropocentric Industry 4.0/5.0. ...

Configurations of human-centered AI at work: seven actor-structure engagements in organizations.

Frontiers in artificial intelligence
PURPOSE: The discourse on the human-centricity of AI at work needs contextualization. The aim of this study is to distinguish prevalent criteria of human-centricity for AI applications in the scientific discourse and to relate them to the work contex...

Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science.

Frontiers in artificial intelligence
The release of ChatGPT has initiated new thinking about AI-based Chatbot and its application and has drawn huge public attention worldwide. Researchers and doctors have started thinking about the promise and application of AI-related large language m...

What is critical for human-centered AI at work? - Toward an interdisciplinary theory.

Frontiers in artificial intelligence
Human-centered artificial intelligence (HCAI) has gained momentum in the scientific discourse but still lacks clarity. In particular, disciplinary differences regarding the scope of HCAI have become apparent and were criticized, calling for a systema...

High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales.

Frontiers in artificial intelligence
Mapping the characteristics of Africa's smallholder-dominated croplands, including the sizes and numbers of fields, can provide critical insights into food security and a range of other socioeconomic and environmental concerns. However, accurately ma...

Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES).

Frontiers in artificial intelligence
Neuroimaging is among the most active research domains for the creation and management of open-access data repositories. Notably lacking from most data repositories are integrated capabilities for semantic representation. The Arkansas Imaging Enterpr...

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.

Frontiers in artificial intelligence
It is currently estimated that 67% of malaria deaths occur in children under-five years (WHO, 2020). To improve the identification of children at clinical risk for malaria, the WHO developed community (iCCM) and clinic-based (IMCI) protocols for fron...

Evaluation of Goal Recognition Systems on Unreliable Data and Uninspectable Agents.

Frontiers in artificial intelligence
Goal or intent recognition, where one agent recognizes the goals or intentions of another, can be a powerful tool for effective teamwork and improving interaction between agents. Such reasoning can be challenging to perform, however, because observat...