AIMC Topic: Decision Making

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The promise of AI in healthcare: transforming communication and decision-making for patients.

Journal of communication in healthcare
By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to improve decision-making and to empower patients with more control over their health. Current systems for navigating healthcare - such as finding prov...

Machine learning-based models for prediction of innovative medicine reimbursement decisions in Scotland.

Journal of epidemiology and population health
OBJECTIVE: This study aimed to investigate the critical factors for reimbursement decisions of innovative medicines in Scotland and to explore the feasibility of machine learning models for predicting decisions.

Interpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making.

Viruses
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and res...

Utilizing convolutional neural network (CNN) for orchard irrigation decision-making.

Environmental monitoring and assessment
Efficient agricultural management often relies on farmers' experiential knowledge and demands considerable labor, particularly in regions with challenging terrains. To reduce these burdens, the adoption of smart technologies has garnered increasing a...

Integrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories.

PloS one
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, i...

Dynamic planning in hierarchical active inference.

Neural networks : the official journal of the International Neural Network Society
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, const...

Innovative Approaches in Regulatory Affairs: Leveraging Artificial Intelligence and Machine Learning for Efficient Compliance and Decision-Making.

The AAPS journal
Artificial Intelligence (AI) and AI-driven technologies are transforming industries across the board, with the pharmaceutical sector emerging as a frontrunner beneficiary. This article explores the growing impact of AI and Machine Learning (ML) withi...

A pack hunting strategy for heterogeneous robots in rescue operations.

Bioinspiration & biomimetics
This study focuses on improving coordination among teams of heterogeneous robots, including unmanned aerial vehicles and unmanned ground vehicles, drawing inspiration from natural pack-hunting strategies. The goal is to increase the effectiveness of ...

Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions.

Scientific reports
How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring...

AI-driven participatory environmental management: Innovations, applications, and future prospects.

Journal of environmental management
The rapid advancement of Artificial Intelligence (AI) presents unprecedented opportunities for participatory environmental management. This paper explores the integration of AI technologies into participatory approaches, which engage diverse stakehol...