AIMC Topic: United States
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Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.
European journal of heart failure
Sep 6, 2024
AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abn...
Prediction of cognitive impairment among Medicare beneficiaries using a machine learning approach.
Archives of gerontology and geriatrics
Sep 5, 2024
OBJECTIVE: Developing machine learning (ML) models to predict cognitive impairment among Medicare beneficiaries in the United States.
Students' perception of the use of artificial intelligence (AI) in pharmacy school.
Currents in pharmacy teaching & learning
Sep 4, 2024
INTRODUCTION: The increasing adoption of artificial intelligence (AI) among college students, particularly in pharmacy education, raises ethical concerns and prompts debates on responsible usage. The promise of the potential to reduce workload is met...
Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence.
JAMA network open
Sep 3, 2024
IMPORTANCE: Safe integration of artificial intelligence (AI) into clinical settings often requires randomized clinical trials (RCT) to compare AI efficacy with conventional care. Diabetic retinopathy (DR) screening is at the forefront of clinical AI ...
From "Human in the Loop" to a Participatory System of Governance for AI in Healthcare.
The American journal of bioethics : AJOB
Sep 3, 2024
Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.
Circulation. Cardiovascular quality and outcomes
Sep 2, 2024
BACKGROUND: Risk stratification strategies for cancer therapeutics-related cardiac dysfunction (CTRCD) rely on serial monitoring by specialized imaging, limiting their scalability. We aimed to examine an application of artificial intelligence (AI) to...
Stroke Volume
Middle Aged
Risk Assessment
Antineoplastic Agents
Aged
Male
Ventricular Function, Left
Ventricular Dysfunction, Left
Trastuzumab
Cardiotoxicity
Anthracyclines
Time Factors
United States
Electrocardiography
Predictive Value of Tests
Humans
Artificial Intelligence
Retrospective Studies
Female
Risk Factors
Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study.
The Lancet. Digital health
Aug 29, 2024
BACKGROUND: Point-of-care (POC) high-sensitivity cardiac troponin (hs-cTn) assays have been shown to provide similar analytical precision despite substantially shorter turnaround times compared with laboratory-based hs-cTn assays. We applied the prev...
Meeting the Artificial Intelligence Needs of U.S. Health Systems.
Annals of internal medicine
Aug 27, 2024
Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.
Journal of medical Internet research
Aug 26, 2024
BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals and pose a risk for severe patient harm and increase hospital length of stay.
Thy-DAMP: deep artificial neural network model for prediction of thyroid cancer mortality.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Aug 22, 2024
PURPOSE: Despite the rising incidence of differentiated thyroid cancer (DTC), mortality rates have remained relatively low yet crucial for effective patient management. This study aims to develop a deep neural network capable of predicting mortality ...
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