AIMC Topic: Decision Making
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Exploring condition in which people accept AI over human judgements on justified defection.
Scientific reports
Jan 27, 2025
As artificial intelligence (AI) technology is introduced into different areas of society, understanding people's willingness to accept AI decisions emerges as a critical scientific and societal issue. It is an open question whether people can accept ...
The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.
Journal of medical Internet research
Jan 24, 2025
BACKGROUND: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide su...
Unlocking practical wisdom through the inner voice of robots.
Scientific reports
Jan 21, 2025
As Artificial Intelligence and Robotics evolve, the ethical implications of autonomous systems are becoming increasingly paramount. This article explores the role of a robot's inner speech in enhancing human phronesis - the capacity for making ethica...
A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection.
Scientific reports
Jan 21, 2025
In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for ...
The promise of AI in healthcare: transforming communication and decision-making for patients.
Journal of communication in healthcare
Jan 17, 2025
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
Jan 17, 2025
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
Jan 15, 2025
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
Jan 14, 2025
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
Jan 14, 2025
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
Jan 8, 2025
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...
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