AIMC Topic: Decision Support Techniques

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Hybrid clinical-radiomics model based on fully automatic segmentation for predicting the early expansion of spontaneous intracerebral hemorrhage: A multi-center study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 31, 2024
BACKGROUND: Early prediction of hematoma expansion (HE) is important for the development of therapeutic strategies for spontaneous intracerebral hemorrhage (sICH). Radiomics can help to predict early hematoma expansion in intracerebral hemorrhage. Ho...
Humans Decision Support Techniques Prognosis Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Middle Aged Risk Factors Nomograms Risk Assessment Aged Disease Progression Cerebral Hemorrhage Aged, 80 and over Deep Learning Predictive Value of Tests Radiomics China Radiographic Image Interpretation, Computer-Assisted Male Time Factors Hematoma Automation
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Optimizing vehicle Front-End structure for e-bike rider Safety: An advanced Multi-Objective approach using injury prediction models.

Accident; analysis and prevention Aug 29, 2024
A multi-objective optimization method based on an injury prediction model is proposed to address the increasingly prominent safety issues for e-bike riders in Chinese road traffic. This method aims to enhance the protective effect of vehicle front-en...
Bicycling Models, Theoretical Humans Equipment Design Machine Learning Accidents, Traffic Decision Support Techniques Safety Biomechanical Phenomena Wounds and Injuries Risk Assessment China
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Margins of Excision Adenocarcinoma of Lung Ablation Techniques Predictive Value of Tests Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Neoplasm Recurrence, Local Microwaves Clinical Decision-Making Female Risk Factors Aged Radiomics Male Middle Aged Risk Assessment Time Factors Lung Neoplasms Treatment Outcome Humans Machine Learning Decision Support Techniques Retrospective Studies Tomography, X-Ray Computed
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Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation.

BMC cardiovascular disorders Aug 13, 2024
OBJECTIVE: Accurate prediction of survival prognosis is helpful to guide clinical decision-making. The aim of this study was to develop a model using machine learning techniques to predict the occurrence of composite thromboembolic events (CTEs) in e...
Humans Machine Learning Decision Support Techniques Aged, 80 and over Male Risk Assessment China Incidence Age Factors Prognosis Retrospective Studies Female Reproducibility of Results Risk Factors Aged East Asian People Predictive Value of Tests Atrial Fibrillation Thromboembolism
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Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Infarction, Middle Cerebral Artery Thrombectomy Medical Futility Risk Factors Machine Learning Risk Assessment Aged Humans Time Factors Decision Support Techniques Aged, 80 and over Treatment Outcome Male Retrospective Studies Predictive Value of Tests Middle Aged Tomography, X-Ray Computed Ischemic Stroke Clinical Decision-Making Radiographic Image Interpretation, Computer-Assisted Female
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Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Aug 1, 2024
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to car...
Decision Support Techniques Databases, Factual Female Reproducibility of Results Aged Male Humans Software Supervised Machine Learning Coronary Vessels Plaque, Atherosclerotic Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Severity of Illness Index Predictive Value of Tests Tomography, Optical Coherence Coronary Angiography Coronary Artery Disease
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Predicting inferior vena cava filter complications using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Jul 29, 2024
OBJECTIVE: Inferior vena cava (IVC) filter placement is associated with important long-term complications. Predictive models for filter-related complications may help guide clinical decision-making but remain limited. We developed machine learning (M...
Risk Assessment Postoperative Complications Time Factors Treatment Outcome Predictive Value of Tests Prosthesis Implantation Female Humans Vena Cava Filters Machine Learning Risk Factors Decision Support Techniques Aged Databases, Factual Adult Retrospective Studies Male Middle Aged
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Off-Label use of Woven EndoBridge device for intracranial brain aneurysm treatment: Modeling of occlusion outcome.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2024
INTRODUCTION: The Woven EndoBridge (WEB) device is emerging as a novel therapy for intracranial aneurysms, but its use for off-label indications requires further study. Using machine learning, we aimed to develop predictive models for complete occlus...
Male Middle Aged Risk Assessment Treatment Outcome Prosthesis Design Blood Vessel Prosthesis Implantation Clinical Decision-Making Endovascular Procedures Humans Female Blood Vessel Prosthesis Machine Learning Risk Factors Intracranial Aneurysm Decision Support Techniques Aged Off-Label Use Retrospective Studies Adult
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Valuing good health care: How medical doctors, scientists and patients relate ethical challenges with artificial intelligence decision-making support tools in prostate cancer diagnostics to good health care.

Sociology of health & illness Jul 22, 2024
Artificial intelligence (AI) is increasingly used in health care to improve diagnostics and treatment. Decision-making tools intended to help professionals in diagnostic processes are developed in a variety of medical fields. Despite the imagined ben...
Decision Making Prostatic Neoplasms Artificial Intelligence Decision Support Techniques Physicians Male Qualitative Research Magnetic Resonance Imaging Humans
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Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study.

British journal of cancer Jul 6, 2024
IMPORTANCE: Intra-arterial therapies(IATs) are promising options for unresectable hepatocellular carcinoma(HCC). Stratifying the prognostic risk before administering IAT is important for clinical decision-making and for designing future clinical tria...
Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Prognosis Chemoembolization, Therapeutic Retrospective Studies Humans Clinical Decision-Making Machine Learning Female Decision Support Techniques Aged Male
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