AIMC Journal:
International journal of medical informatics

Showing 201 to 210 of 372 articles

Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives.

International journal of medical informatics Mar 14, 2023
BACKGROUND: Artificial intelligence (AI) has potential to improve self-management of several chronic conditions. However, the perspective of patients and healthcare professionals regarding AI-enabled health management programs, which are key to succe...
Humans Myocardial Infarction Focus Groups Secondary Prevention Artificial Intelligence Qualitative Research
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Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study.

International journal of medical informatics Jan 28, 2023
BACKGROUND: Machine learning models have demonstrated superior performance in predicting invasive bacterial infection (IBI) in febrile infants compared to commonly used risk stratification criteria in recent studies. However, the black-box nature of ...
Deep Learning Child Fever Body Temperature Bacterial Infections Retrospective Studies Infant Humans
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AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments.

International journal of medical informatics Jan 25, 2023
OBJECTIVE: Although machine learning techniques have been repeatedly used for activity prediction from wearable devices, accurate classification of 24-hour activity behaviour categories from accelerometry data remains a challenge. We developed and va...
Deep Learning Bayes Theorem Wrist Humans Exercise Accelerometry
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Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.

International journal of medical informatics Jan 6, 2023
BACKGROUND: Participant recruitment is a barrier to successful clinical research. One strategy to improve recruitment is to conduct eligibility prescreening, a resource-intensive process where clinical research staff manually reviews electronic healt...
Computers Electronic Health Records Female Humans Natural Language Processing Middle Aged Records Young Adult User-Computer Interface Adult
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A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation.

International journal of medical informatics Jan 5, 2023
BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical scenarios and showed effectiveness in helping physicians observe the potential malignant tissues. However, little research has been conducted for the cys...
Urinary Bladder Neoplasms Hospitals, University Deep Learning Image Processing, Computer-Assisted Artificial Intelligence Humans Physicians
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A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.

International journal of medical informatics Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
Electronic Health Records United States Humans Deep Learning Practice Patterns, Physicians' Analgesics, Opioid Opioid-Related Disorders Machine Learning Prescriptions
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A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.

International journal of medical informatics Dec 21, 2022
Multiple Sclerosis (MS) is an autoimmune disease that causes brain and spinal cord lesions, which magnetic resonance imaging (MRI) can detect and characterize. Recently, deep learning methods have achieved remarkable results in the automated segmenta...
Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Multiple Sclerosis Neural Networks, Computer
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Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.

International journal of medical informatics Dec 21, 2022
BACKGROUND: Cognitive tests and biomarkers are the key information to assess the severity and track the progression of Alzheimer's' disease (AD) and AD-related dementias (AD/ADRD), yet, both are often only documented in clinical narratives of patient...
Middle Aged Cohort Studies Natural Language Processing Patient Acuity Cognition Aged, 80 and over Male Humans Female Biomarkers Aged Electronic Health Records Alzheimer Disease Mental Status and Dementia Tests Documentation
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Using natural language processing to identify opioid use disorder in electronic health record data.

International journal of medical informatics Dec 10, 2022
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disorder (OUD) and its adverse outcomes. Accurate and complete epidemiologic surveillance of OUD, to inform prevention strategies, presents challenges. The ...
Opioid-Related Disorders Humans Algorithms Natural Language Processing Electronic Health Records Analgesics, Opioid
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Tools to foster responsibility in digital solutions that operate with or without artificial intelligence: A scoping review for health and innovation policymakers.

International journal of medical informatics Dec 5, 2022
BACKGROUND: Digital health solutions that operate with or without artificial intelligence (D/AI) raise several responsibility challenges. Though many frameworks and tools have been developed, determining what principles should be translated into prac...
Humans Artificial Intelligence
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