AIMC Journal:
Studies in health technology and informatics

Showing 461 to 470 of 1224 articles

Domain Knowledge-Driven Generation of Synthetic Healthcare Data.

Studies in health technology and informatics May 18, 2023
Healthcare longitudinal data collected around patients' life cycles, today offer a multitude of opportunities for healthcare transformation utilizing artificial intelligence algorithms. However, access to "real" healthcare data is a big challenge due...
Electronic Health Records Confidentiality Humans Artificial Intelligence Algorithms
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What Are We Talking About When We Talk About Information-Driven Care? A Delphi-Study on a Definition.

Studies in health technology and informatics May 18, 2023
In Sweden, the term information-driven care has recently been put forward by healthcare organizations and researchers as a means for taking a comprehensive approach to the introduction of Artificial Intelligence (AI) in healthcare. The aim of this st...
Delphi Technique Artificial Intelligence Sweden Consensus Health Facilities
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Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification.

Studies in health technology and informatics May 18, 2023
Deep Learning architectures for time series require a large number of training samples, however traditional sample size estimation for sufficient model performance is not applicable for machine learning, especially in the field of electrocardiograms ...
Sample Size Machine Learning Electrocardiography Neural Networks, Computer Deep Learning
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Enabling Clinical Trials of Artificial Intelligence: Infrastructure for Heart Failure Predictions.

Studies in health technology and informatics May 18, 2023
The last decade has seen a large increase in artificial intelligence research within healthcare. However, relatively few attempts of clinical trials have been made for such configurations. One of the main challenges arise in the extensive infrastruct...
Artificial Intelligence Prospective Studies Delivery of Health Care Humans Heart Failure Health Facilities
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Assessing the FAIRness of Deep Learning Models in Cardiovascular Disease Using Computed Tomography Images: Data and Code Perspective.

Studies in health technology and informatics May 18, 2023
The interest in the application of AI in medicine has intensely increased over the past decade with most of the changes in the past five years. Most recently, the application of deep learning algorithms in prediction and classification of cardiovascu...
Deep Learning Algorithms Software Cardiovascular Diseases Tomography, X-Ray Computed Humans
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The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models.

Studies in health technology and informatics May 18, 2023
Even though the interest in machine learning studies is growing significantly, especially in medicine, the imbalance between study results and clinical relevance is more pronounced than ever. The reasons for this include data quality and interoperabi...
Electrocardiography Information Sources Data Accuracy Machine Learning Algorithms
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How Good Is ChatGPT for Medication Evidence Synthesis?

Studies in health technology and informatics May 18, 2023
With its seeming competence to mimic human responses, ChatGPT, an emerging AI-powered chatbot, has spurred great interest. This study aims to explore the role of ChatGPT in synthesizing medication literature and compare it with a hybrid summarization...
Software Artificial Intelligence
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Tracking of Nutritional Intake Using Artificial Intelligence.

Studies in health technology and informatics May 18, 2023
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single pictur...
Humans Obesity Eating Energy Intake Artificial Intelligence Food
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Client-Side Application of Deep Learning Models Through Teleradiology.

Studies in health technology and informatics May 18, 2023
Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in...
Diagnostic Imaging Teleradiology Humans Radiology Deep Learning Software
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Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG.

Studies in health technology and informatics May 18, 2023
Electrocardiography analysis is widely used in various clinical applications and Deep Learning models for classification tasks are currently in the focus of research. Due to their data-driven character, they bear the potential to handle signal noise ...
Algorithms Deep Learning Humans Atrial Fibrillation Signal-To-Noise Ratio Benchmarking Electrocardiography
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