AIMC Topic: Decision Support Techniques

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Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

The international journal of cardiovascular imaging Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Predictive Value of Tests Double-Blind Method Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Risk Assessment Non-ST Elevated Myocardial Infarction Acute Coronary Syndrome Computed Tomography Angiography Artificial Intelligence Decision Support Techniques Prospective Studies Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Humans
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Machine Learning Model for Predicting Risk Factors of Prolonged Length of Hospital Stay in Patients with Aortic Dissection: a Retrospective Clinical Study.

Journal of cardiovascular translational research Oct 10, 2024
The length of hospital stay (LOS) is crucial for assessing medical service quality. This study aimed to develop machine learning models for predicting risk factors of prolonged LOS in patients with aortic dissection (AD). The data of 516 AD patients ...
Female Risk Factors Aged Adult Humans Machine Learning Time Factors Decision Support Techniques Predictive Value of Tests Retrospective Studies Aortic Dissection Aortic Aneurysm Male Middle Aged Risk Assessment Length of Stay
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Using novel machine learning tools to predict optimal discharge following transcatheter aortic valve replacement.

Archives of cardiovascular diseases Oct 5, 2024
BACKGROUND: Although transcatheter aortic valve replacement has emerged as an alternative to surgical aortic valve replacement, it requires extensive healthcare resources, and optimal length of hospital stay has become increasingly important. This st...
Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Humans Neural Networks, Computer Time Factors United States Treatment Outcome Aged, 80 and over Aortic Valve Stenosis Male Clinical Decision-Making Aortic Valve Risk Assessment Female Predictive Value of Tests Length of Stay Risk Factors Patient Discharge Aged Transcatheter Aortic Valve Replacement
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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

The international journal of cardiovascular imaging Sep 25, 2024
Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood...
Humans Machine Learning Decision Support Techniques Retrospective Studies Radiomics Male Middle Aged Risk Assessment Female Reproducibility of Results Risk Factors Aged Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Atrial Fibrillation Multidetector Computed Tomography Thrombophilia Nomograms Computed Tomography Angiography Predictive Value of Tests Atrial Appendage Anticoagulants Blood Coagulation
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Integrating Social Determinants of Health in Machine Learning-Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study.

JMIR research protocols Sep 25, 2024
BACKGROUND: The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes.
Humans United States Machine Learning Diabetes Mellitus Female Decision Support Techniques Social Determinants of Health Male Case Management Middle Aged Decision Support Systems, Clinical
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Enhanced machine learning models for predicting one-year mortality in individuals suffering from type A aortic dissection.

The Journal of thoracic and cardiovascular surgery Sep 18, 2024
OBJECTIVE: The study objective was to develop and validate an interpretable machine learning model to predict 1-year mortality in patients with type A aortic dissection, improving risk classification and aiding clinical decision-making.
Humans Machine Learning Decision Support Techniques Prognosis Retrospective Studies Predictive Value of Tests Aortic Dissection Aortic Aneurysm Male Middle Aged Risk Assessment Clinical Decision-Making Time Factors Female Risk Factors Aged
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Geospatial and Temporal Analysis of Avian Influenza Risk in Thailand: A GIS-Based Multi-Criteria Decision Analysis Approach for Enhanced Surveillance and Control.

Transboundary and emerging diseases Sep 13, 2024
Avian influenza (AI) is a viral infection that profoundly affects global poultry production. This study aimed to identify the spatial and temporal factors associated with AI in Thailand, using a geographic information system (GIS)-based multi-criteri...
Poultry Influenza in Birds Decision Support Techniques Thailand Risk Factors Geographic Information Systems Animals Spatio-Temporal Analysis Disease Outbreaks
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Five steps in performing machine learning for binary outcomes.

The Journal of thoracic and cardiovascular surgery Sep 5, 2024
BACKGROUND: The use of machine learning (ML) in cardiovascular and thoracic surgery is evolving rapidly. Maximizing the capabilities of ML can help improve patient risk stratification and clinical decision making, improve accuracy of predictions, and...
Humans Cardiac Surgical Procedures Machine Learning Decision Support Techniques Clinical Decision-Making Risk Assessment
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A Holistic, Multi-Level, and Integrative Ethical Approach to Developing Machine Learning-Driven Decision Aids.

The American journal of bioethics : AJOB Sep 3, 2024
Humans Machine Learning Decision Support Techniques
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Transparency, Evaluation and Going From "Ethics-Washing" to Enforceable Regulation: On Machine Learning-Driven Clinician Decision Aids.

The American journal of bioethics : AJOB Sep 3, 2024
Humans Machine Learning Decision Support Techniques
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