AIMC Topic: Consensus

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A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images.

Artificial intelligence in medicine
The selection of embryos is a key for the success of in vitro fertilization (IVF). However, automatic quality assessment on human IVF embryos with optical microscope images is still challenging. In this study, we developed a clinical consensus-compli...

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.

Journal of medical Internet research
BACKGROUND: The systematic review of clinical research papers is a labor-intensive and time-consuming process that often involves the screening of thousands of titles and abstracts. The accuracy and efficiency of this process are critical for the qua...

Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to L-minimization.

Neural networks : the official journal of the International Neural Network Society
This paper develops two continuous-time distributed accelerated neurodynamic approaches for solving sparse recovery via smooth approximation to L-norm minimization problem. First, the L-norm minimization problem is converted into a distributed smooth...

TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity.

Chemical research in toxicology
Despite being extremely relevant for the protection of prenatal and neonatal health, the developmental toxicity (Dev Tox) is a highly complex endpoint whose molecular rationale is still largely unknown. The lack of availability of high-quality data a...

Reinforcement learning-based consensus control for MASs with intermittent constraints.

Neural networks : the official journal of the International Neural Network Society
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)
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
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
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
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
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...