AIMC Topic: Consensus

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Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA).

BMJ open
INTRODUCTION: Cluster analysis, a machine learning-based and data-driven technique for identifying groups in data, has demonstrated its potential in a wide range of contexts. However, critical appraisal and reproducibility are often limited by insuff...

Consensus stability among composite decision makers in the framework of hesitant fuzzy graph model with application to doctor-patient disputes.

Scientific reports
Doctor-patient disputes are inevitable in human beings' social lives. The rapid development of social media makes doctor-patient disputes easier to spiral out of control. One of the ensuing problems is that the size of the parties in conflict has inc...

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Critical care (London, England)
Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opportunities for enhanced diagnostic precision and personalized patient management. However, its integration into ICU clinical practice presents significan...

Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing.

Neural networks : the official journal of the International Neural Network Society
This paper presents the D-type distributed iterative learning control protocol to synchronize fractional-order competitive neural networks with time delay within a finite time frame. Firstly, the input sharing strategy of such desired competitive neu...

Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles.

Neural networks : the official journal of the International Neural Network Society
Multiview learning (MvL) is an advancing domain in machine learning, leveraging multiple data perspectives to enhance model performance through view-consistency and view-discrepancy. Despite numerous successful multiview-based support vector machine ...

International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery.

Scientific reports
Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science and practice. The evolution of AI from rule-based systems to advanced machine learning and deep learning algorithms has opened new avenues for its appl...

Eligibility for eCPR Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision-Making.

Artificial organs
AIM OF THE STUDY: Artificial intelligence (AI) such as large language models (LLMs) tools are potential sources of information on hypothermic cardiac arrest (HCA). The aim of our study was to determine whether, for patients with HCA, LLMs provide inf...

Prioritisation of functional needs for ICU intelligent robots in China: a consensus study based on the national survey and nominal group technique.

BMJ open
OBJECTIVE: This study aims to define the prioritisation of the needs for an intelligent robot's functions in the intensive care unit (ICU) from a clinical perspective.

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts.

Journal of medical Internet research
BACKGROUND: The integration of artificial intelligence (AI) into health care has become a crucial element in the digital transformation of health systems worldwide. Despite the potential benefits across diverse medical domains, a significant barrier ...

Development of Evidence-Based Guidelines for the Integration of Generative AI in University Education Through a Multidisciplinary, Consensus-Based Approach.

European journal of dental education : official journal of the Association for Dental Education in Europe
INTRODUCTION: The introduction highlights the transformative impact of generative artificial intelligence (GenAI) on higher education (HE), emphasising its potential to enhance student learning and instructor efficiency while also addressing signific...