AIMC Topic: Consensus

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A narrative review on the application of Delphi and fuzzy Delphi techniques in the cement industry.

Work (Reading, Mass.)
BackgroundThe Delphi technique and its fuzzy variant are widely employed across various sectors, including industrial applications, for eliciting expert consensus and identifying priorities. Despite its prevalence, there is limited literature on its ...

Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism.

Neural networks : the official journal of the International Neural Network Society
This article analyses leader-following bipartite consensus for one-sided Lipschitz multi-agent systems by dual-terminal event-triggered output feedback control approach. A distributed observer is designed to estimate unknown system states by employin...

Navigating ChatGPT's alignment with expert consensus on pediatric OSA management.

International journal of pediatric otorhinolaryngology
OBJECTIVE: This study aimed to evaluate the potential integration of artificial intelligence (AI), specifically ChatGPT, into healthcare decision-making, focusing on its alignment with expert consensus statements regarding the management of persisten...

Justice-centered best practices for accessibility to public buildings in a tier II city: Insights from a Delphi expert consensus.

F1000Research
BACKGROUND: Despite beneficial progress in policies, awareness and advocacy, accessibility gaps exist in public buildings in India. Challenges achieving full inclusivity still exist, due to a lack of clear guidance for implementing accessible solutio...

ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the consensus control issue for nonlinear multiagent systems (MASs) subject to irregular state constraints and actuator faults using an adaptive dynamic programming (ADP) algorithm. Unlike the regular state constraints conside...

Benchmarking Human-AI collaboration for common evidence appraisal tools.

Journal of clinical epidemiology
BACKGROUND AND OBJECTIVE: It is unknown whether large language models (LLMs) may facilitate time- and resource-intensive text-related processes in evidence appraisal. The objective was to quantify the agreement of LLMs with human consensus in apprais...

AI assistance in aesthetic medicine-A consensus on objective medical standards.

Journal of cosmetic dermatology
BACKGROUND: Aesthetic medicine has traditionally relied on clinical scales for the objective assessment of baseline appearance and treatment outcomes. However, the scales focus on limited aesthetic areas mostly and subjective interpretation inherent ...

Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI).

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcar...

REFORMS: Consensus-based Recommendations for Machine-learning-based Science.

Science advances
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability. These failures can hinder scientific progress, lead to...