AIMC Topic: Consensus

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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...
Humans Artificial Intelligence Consensus Cluster Analysis Algorithms Deep Learning
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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...
Humans Consensus Systematic Reviews as Topic Artificial Intelligence Delivery of Health Care
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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...
Consensus Meta-Analysis as Topic Climate Change Internationality Humans Scoping Reviews As Topic Artificial Intelligence Research Design Psychological Well-Being Mental Health
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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...
Cell Line Deep Learning Acoustics Consensus Phonons Neoplasms
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Can artificial intelligence replace biochemists? A study comparing interpretation of thyroid function test results by ChatGPT and Google Bard to practising biochemists.

Annals of clinical biochemistry Sep 20, 2023
BACKGROUND: Public awareness of artificial intelligence (AI) is increasing and this novel technology is being used for a range of everyday tasks and more specialist clinical applications. On a background of increasing waits for GP appointments alongs...
Search Engine Consensus Thyroid Function Tests Humans Artificial Intelligence Health Personnel
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Radiomics in Carotid Plaque: A Systematic Review and Radiomics Quality Score Assessment.

Ultrasound in medicine & biology Sep 16, 2023
Imaging modalities provide information on plaque morphology and vulnerability; however, they are operator dependent and miss a great deal of microscopic information. Recently, many radiomics models for carotid plaque that identify unstable plaques an...
Machine Learning Retrospective Studies Humans Prospective Studies Consensus
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Looking at the fringes of MedTech innovation: a mapping review of horizon scanning and foresight methods.

BMJ open Sep 14, 2023
OBJECTIVES: Horizon scanning (HS) is a method used to examine signs of change and may be used in foresight practice. HS methods used for the identification of innovative medicinal products cannot be applied in medical technologies (MedTech) due to di...
Databases, Bibliographic Consensus Data Mining Databases, Factual Humans Artificial Intelligence
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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation.

Journal of medical Internet research Aug 31, 2023
BACKGROUND: The reporting of machine learning (ML) prognostic and diagnostic modeling studies is often inadequate, making it difficult to understand and replicate such studies. To address this issue, multiple consensus and expert reporting guidelines...
Reproducibility of Results Machine Learning Consensus Checklist Humans Prognosis
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Identification of distinct clinical phenotypes of cardiogenic shock using machine learning consensus clustering approach.

BMC cardiovascular disorders Aug 29, 2023
BACKGROUND: Cardiogenic shock (CS) is a complex state with many underlying causes and associated outcomes. It is still difficult to differentiate between various CS phenotypes. We investigated if the CS phenotypes with distinctive clinical profiles a...
Cluster Analysis Unsupervised Machine Learning Machine Learning Consensus Humans Shock, Cardiogenic
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A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study.

Journal of medical Internet research Aug 28, 2023
BACKGROUND: Clinicians' scope of responsibilities is being steadily transformed by digital health solutions that operate with or without artificial intelligence (DAI solutions). Most tools developed to foster ethical practices lack rigor and do not c...
Artificial Intelligence Reproducibility of Results Research Personnel Leadership Consensus Humans
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