AIMC Journal:
International journal of medical informatics

Showing 161 to 170 of 372 articles

Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.

International journal of medical informatics Mar 30, 2024
BACKGROUND: Korea is known for its technological prowess, has the highest smartphone ownership rate in the world at 95%, and the smallest gap in smartphone ownership between generations. Since the onset of the COVID-19 pandemic, problematic smartphon...
Adolescent Child, Preschool Smartphone Child Pandemics Republic of Korea Artificial Intelligence Machine Learning Humans
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A novel decision support system for proactive risk management in healthcare based on fuzzy inference, neural network and support vector machine.

International journal of medical informatics Mar 30, 2024
BACKGROUND: The nature of activities practiced in healthcare organizations makes risk management the most crucial issue for decision-makers, especially in developing countries. New technologies provide effective solutions to support engineers in mana...
Risk Assessment Support Vector Machine Neural Networks, Computer Delivery of Health Care Fuzzy Logic Risk Management Humans
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Predicting intubation for intensive care units patients: A deep learning approach to improve patient management.

International journal of medical informatics Mar 26, 2024
OBJECTIVE: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant association with patients' outcomes. However, accurate prediction of the timing of intubation remains an unsolved challenge due to the noisy, sparse,...
Deep Learning ROC Curve Machine Learning Critical Care Intensive Care Units Humans
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Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK.

International journal of medical informatics Mar 25, 2024
BACKGROUND: Medical Imaging and radiotherapy (MIRT) are at the forefront of artificial intelligence applications. The exponential increase of these applications has made governance frameworks necessary to uphold safe and effective clinical adoption. ...
Cross-Sectional Studies Diagnostic Imaging United Kingdom Humans Artificial Intelligence
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Using machine learning models to predict falls in hospitalised adults.

International journal of medical informatics Mar 23, 2024
BACKGROUND: Identifying patients at high risk of falling is crucial in implementing effective fall prevention programs. While the integration of information systems is becoming more widespread in the healthcare industry, it poses a significant challe...
Machine Learning Retrospective Studies Female Middle Aged Risk Factors Risk Assessment Electronic Health Records Aged, 80 and over Victoria Humans Hospitalization Accidental Falls Neural Networks, Computer Adult Aged Male
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Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods.

International journal of medical informatics Mar 22, 2024
OBJECTIVE: With the recent increase in research into public views on healthcare artificial intelligence (HCAI), the objective of this review is to examine the methods of empirical studies on public views on HCAI. We map how studies provided participa...
Humans Artificial Intelligence Delivery of Health Care Health Facilities
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Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review.

International journal of medical informatics Mar 22, 2024
BACKGROUND: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical presentations with heightened rate of malignant transformation. Identification of risk levels in OPMDs is crucial to determine the need for active inte...
Mouth Neoplasms Cell Transformation, Neoplastic Precancerous Conditions Algorithms Risk Assessment Humans Machine Learning
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AssistMED project: Transforming cardiology cohort characterisation from electronic health records through natural language processing - Algorithm design, preliminary results, and field prospects.

International journal of medical informatics Feb 19, 2024
INTRODUCTION: Electronic health records (EHR) are of great value for clinical research. However, EHR consists primarily of unstructured text which must be analysed by a human and coded into a database before data analysis- a time-consuming and costly...
Information Storage and Retrieval Electronic Health Records Natural Language Processing Cardiology Humans Algorithms
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hART: Deep learning-informed lifespan heart failure risk trajectories.

International journal of medical informatics Feb 19, 2024
BACKGROUND: Heart failure (HF) results in persistent risk and long-term comorbidities. This is particularly true for patients with lifelong HF sequelae of cardiovascular disease such as patients with congenital heart disease (CHD).
Heart Failure Risk Factors Cardiovascular Diseases Longevity Heart Defects, Congenital Humans Adult Deep Learning
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A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

International journal of medical informatics Feb 15, 2024
BACKGROUND: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investments have stalled at the proto...
Health Facilities Investments Artificial Intelligence Humans Health Personnel Data Management
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