AIMC Topic: Consensus
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Reinforcement learning-based consensus control for MASs with intermittent constraints.
Neural networks : the official journal of the International Neural Network Society
Jan 6, 2024
In this article, an adaptive optimal consensus control problem is studied for multiagent systems in the strict-feedback structure with intermittent constraints (the constraints appear intermittently). More specifically, by designing a novel switch-li...
Smart Sensor Control and Monitoring of an Automated Cell Expansion Process.
Sensors (Basel, Switzerland)
Dec 7, 2023
Immune therapy for cancer patients is a new and promising area that in the future may complement traditional chemotherapy. The cell expansion phase is a critical part of the process chain to produce a large number of high-quality, genetically modifie...
BioDiscViz: A visualization support and consensus signature selector for BioDiscML results.
PloS one
Nov 30, 2023
Machine learning (ML) algorithms are powerful tools to find complex patterns and biomarker signatures when conventional statistical methods fail to identify them. While the ML field made significant progress, state of the art methodologies to build e...
Improved assessment of donor liver steatosis using Banff consensus recommendations and deep learning algorithms.
Journal of hepatology
Nov 29, 2023
BACKGROUND & AIMS: The Banff Liver Working Group recently published consensus recommendations for steatosis assessment in donor liver biopsy, but few studies reported their use and no automated deep-learning algorithms based on the proposed criteria ...
Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review.
Journal of medical Internet research
Nov 22, 2023
BACKGROUND: The application of artificial intelligence (AI) in the delivery of health care is a promising area, and guidelines, consensus statements, and standards on AI regarding various topics have been developed.
Neurodynamic approaches for multi-agent distributed optimization.
Neural networks : the official journal of the International Neural Network Society
Nov 10, 2023
This paper considers a class of multi-agent distributed convex optimization with a common set of constraints and provides several continuous-time neurodynamic approaches. In problem transformation, l and l penalty methods are used respectively to cas...
Efficient automated error detection in medical data using deep-learning and label-clustering.
Scientific reports
Nov 9, 2023
Medical datasets inherently contain errors from subjective or inaccurate test results, or from confounding biological complexities. It is difficult for medical experts to detect these elusive errors manually, due to lack of contextual information, li...
The value of standards for health datasets in artificial intelligence-based applications.
Nature medicine
Oct 26, 2023
Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate...
Measurement scales of mental health related to climate change: a scoping review protocol using artificial intelligence.
BMJ open
Oct 11, 2023
INTRODUCTION: Human actions have influenced climate changes around the globe, causing extreme weather phenomena and impacting communities worldwide. Climate change has caused, directly or indirectly, health effects such as injury and physical injurie...
Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning.
Scientific reports
Sep 27, 2023
There is a consensus about the strong correlation between the elasticity of cells and tissue and their normal, dysplastic, and cancerous states. However, developments in cell mechanics have not seen significant progress in clinical applications. In t...
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