AIMC Topic: United States

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Operational safety risk modeling in a naval organization.

Journal of safety research Mar 13, 2025
INTRODUCTION: Following numerous mishaps and near-misses, the U.S. Naval Surface Force established the Operational Surface Risk Indicators (OSRI) project to explore a robust proactive risk analysis and reduction capability. The OSRI model leverages m...
Occupational Health Risk Assessment Military Personnel United States Humans Ships Machine Learning Safety Management
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Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States.

Diabetes, obesity & metabolism Mar 11, 2025
AIMS: Numerous risk factors for the development of obesity have been identified, yet the aetiology is not well understood. Traditional statistical methods for analysing observational data are limited by the volume and characteristics of large dataset...
Aged Adult Male Middle Aged Risk Assessment United States Body Mass Index Obesity Algorithms Electronic Health Records Female Risk Factors Humans Weight Gain Machine Learning
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PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

BMC research notes Mar 11, 2025
OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bone mineral density (BMD) testing, which has limitations in early detection. This study aims to develop and validate a machine learning approach for ost...
United States Machine Learning Algorithms Bone Density Osteoporosis Humans Female Male Risk Factors Middle Aged Aged Risk Assessment Adult Nutrition Surveys
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The Road Map for ACR Practice Accreditation for Radiology Artificial Intelligence.

Journal of the American College of Radiology : JACR Mar 8, 2025
As the use of artificial intelligence (AI) continues to grow in radiology, it has become clear that its real-world performance often differs from that demonstrated in premarket testing, underscoring the need for robust quality management (QM) program...
Accreditation United States Humans Radiology Artificial Intelligence Quality Assurance, Health Care Societies, Medical
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Forecasting trends of rising emergency department chest imaging using machine learning.

Emergency radiology Mar 8, 2025
INTRODUCTION: Imaging studies in the acute care setting, such as the emergency room, have been increasing. In this report, we use the Centers for Medicare and Medicaid services (CMS) database to assess trends in ED chest CT and chest CTA imaging in E...
Radiography, Thoracic Humans Computed Tomography Angiography Machine Learning Forecasting Databases, Factual Tomography, X-Ray Computed United States Emergency Service, Hospital
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Comparison of Machine Learning Algorithms Identifying Children at Increased Risk of Out-of-Home Placement: Development and Practical Considerations.

Health services research Mar 6, 2025
OBJECTIVE: To develop a machine learning (ML) algorithm capable of identifying children at risk of out-of-home placement among a Medicaid-insured population.
Risk Assessment Infant Adolescent Child, Preschool Algorithms Humans Retrospective Studies Machine Learning Female Foster Home Care Male Child Medicaid Ohio ROC Curve Accountable Care Organizations Logistic Models United States
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Veterans United States Department of Defense Suicide, Completed Predictive Learning Models United States Natural Language Processing United States Department of Veterans Affairs Psychological Well-Being Young Adult Adult Male Middle Aged Risk Assessment Case-Control Studies Adolescent Suicide Prevention Electronic Health Records Female Aged Humans Aged, 80 and over
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A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines.

Annals of biomedical engineering Mar 3, 2025
PURPOSE: As generalist large language models (LLMs) become more commonplace, patients will inevitably increasingly turn to these tools instead of traditional search engines. Here, we evaluate publicly available LLM-based chatbots as tools for patient...
Patient Education as Topic Humans Internet Language Large Language Models United States Search Engine
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An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999-2018.

BMC medical informatics and decision making Mar 3, 2025
Current research on the association between demographic variables and dietary patterns with atherosclerotic cardiovascular disease (ASCVD) is limited in breadth and depth. This study aimed to construct a machine learning (ML) algorithm that can accur...
Aged Adult Male Middle Aged Humans Machine Learning Female Atherosclerosis Feeding Behavior Diet Nutrition Surveys United States
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Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.

Circulation. Genomic and precision medicine Feb 24, 2025
Artificial intelligence is poised to transform cardio-oncology by enabling personalized care for patients with cancer, who are at a heightened risk of cardiovascular disease due to both the disease and its treatments. The rising prevalence of cancer ...
Cardio-Oncology American Heart Association Humans Neoplasms Artificial Intelligence United States Precision Medicine Medical Oncology Cardiovascular Diseases Cardiotoxicity
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