AIMC Journal:
Studies in health technology and informatics

Showing 201 to 210 of 1224 articles

Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs.

Studies in health technology and informatics Aug 22, 2024
This study investigates the forecasting of cardiovascular mortality trends in Greece's elderly population. Utilizing mortality data from 2001 to 2020, we employ two forecasting models: the Autoregressive Integrated Moving Average (ARIMA) and Facebook...
Models, Statistical Aged Greece Male Cardiovascular Diseases Humans Machine Learning Health Policy Forecasting Female
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Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach.

Studies in health technology and informatics Aug 22, 2024
In the realm of ophthalmic surgeries, silicone oil is often utilized as a tamponade agent for repairing retinal detachments, but it necessitates subsequent removal. This study harnesses the power of machine learning to analyze the macular and optic d...
Humans Machine Learning Macula Lutea Silicone Oils Retinal Detachment Tomography, Optical Coherence Optic Disk
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A Novel Method and Python Library for ECG Signal Quality Assessment.

Studies in health technology and informatics Aug 22, 2024
Electrocardiogram (ECG) is one of the reference cardiovascular diagnostic exams. However, the ECG signal is very prone to being distorted through different sources of artifacts that can later interfere with the diagnostic. For this reason, signal qua...
Electrocardiography Signal Processing, Computer-Assisted Machine Learning Humans Programming Languages Algorithms Artifacts
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Accelerating Clinical Text Annotation in Underrepresented Languages: A Case Study on Text De-Identification.

Studies in health technology and informatics Aug 22, 2024
Clinical notes contain valuable information for research and monitoring quality of care. Named Entity Recognition (NER) is the process for identifying relevant pieces of information such as diagnoses, treatments, side effects, etc., and bring them to...
Data Anonymization Natural Language Processing Humans Switzerland Electronic Health Records
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Exploring Explainable AI Techniques for Text Classification in Healthcare: A Scoping Review.

Studies in health technology and informatics Aug 22, 2024
Text classification plays an essential role in the medical domain by organizing and categorizing vast amounts of textual data through machine learning (ML) and deep learning (DL). The adoption of Artificial Intelligence (AI) technologies in healthcar...
Deep Learning Natural Language Processing Humans Machine Learning Electronic Health Records Artificial Intelligence
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Developing an AI-Assisted Platform to Support Tuberculosis Care Delivery.

Studies in health technology and informatics Aug 22, 2024
Artificial Intelligence (AI) has the potential to "bridge the gap" between healthcare provider and patient needs in low-resource settings to deliver timely, personalized, and empathetic care to individuals with active tuberculosis.
Decision Support Systems, Clinical Tuberculosis Humans Artificial Intelligence
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Application of Artificial Intelligence in Clinical Practice - Perception of a Multinational Group of Nephrologists.

Studies in health technology and informatics Aug 22, 2024
This study investigates the perception of a multinational group of nephrologists on artificial intelligence (AI) application in clinical practice. A validated on-line survey was performed in March 2024, in 4 continents. The results revealed a prevale...
Attitude of Health Personnel Decision Support Systems, Clinical Machine Learning Surveys and Questionnaires Nephrologists Renal Insufficiency, Chronic Internationality Humans Artificial Intelligence
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Comparative Evaluation of Pre-Trained Language Models for Biomedical Information Retrieval.

Studies in health technology and informatics Aug 22, 2024
Finding relevant information in the biomedical literature increasingly depends on efficient information retrieval (IR) algorithms. Cross-Encoders, SentenceBERT, and ColBERT are algorithms based on pre-trained language models that use nuanced but comp...
Humans Information Storage and Retrieval Algorithms Natural Language Processing
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Multi-Objective Performance Optimization of Machine Learning Models in Healthcare.

Studies in health technology and informatics Aug 22, 2024
Multi-objective optimization holds particular significance for medical applications, wherein enhancing sensitivity is crucial to avoid costly missed diagnoses, and maintaining high specificity is imperative to prevent unnecessary procedures. In parti...
Machine Learning Humans Decision Support Systems, Clinical Support Vector Machine Algorithms
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Data for AI in Congenital Heart Defects: Systematic Review.

Studies in health technology and informatics Aug 22, 2024
Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review a...
Pregnancy Female Magnetic Resonance Imaging Humans Heart Defects, Congenital Prenatal Diagnosis Artificial Intelligence Ultrasonography, Prenatal Deep Learning
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