AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Decision Support Techniques

Showing 71 to 80 of 418 articles

Clear Filters

Development and multinational validation of an algorithmic strategy for high Lp(a) screening.

Nature cardiovascular research 39195936
Elevated lipoprotein (a) (Lp(a)) is associated with premature atherosclerotic cardiovascular disease. However, fewer than 0.5% of individuals undergo Lp(a) testing, limiting the evaluation and use of novel targeted therapeutics currently under develo...
Adult Aged Algorithms Biomarkers Cardiovascular Diseases Decision Support Techniques Female Humans Lipoprotein(a) Machine Learning Male Mass Screening Middle Aged Predictive Value of Tests Reproducibility of Results Risk Assessment United States
View on PubMed DOI

Predicting inferior vena cava filter complications using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders 39084408
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...
Adult Aged Databases, Factual Decision Support Techniques Female Humans Machine Learning Male Middle Aged Postoperative Complications Predictive Value of Tests Prosthesis Implantation Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome Vena Cava Filters
View on PubMed DOI

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 39069148
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...
Adult Aged Blood Vessel Prosthesis Blood Vessel Prosthesis Implantation Clinical Decision-Making Decision Support Techniques Endovascular Procedures Female Humans Intracranial Aneurysm Machine Learning Male Middle Aged Off-Label Use Prosthesis Design Retrospective Studies Risk Assessment Risk Factors Treatment Outcome
View on PubMed DOI

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 39222703
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...
Aged Aged, 80 and over Automation Cerebral Hemorrhage China Decision Support Techniques Deep Learning Disease Progression Female Hematoma Humans Male Middle Aged Nomograms Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Radiomics Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Time Factors Tomography, X-Ray Computed
View on PubMed DOI

Optimizing vehicle Front-End structure for e-bike rider Safety: An advanced Multi-Objective approach using injury prediction models.

Accident; analysis and prevention 39214035
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...
Accidents, Traffic Bicycling Biomechanical Phenomena China Decision Support Techniques Equipment Design Humans Machine Learning Models, Theoretical Risk Assessment Safety Wounds and Injuries
View on PubMed DOI

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 39208929
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 ...
Ablation Techniques Adenocarcinoma of Lung Aged Clinical Decision-Making Decision Support Techniques Female Humans Lung Neoplasms Machine Learning Male Margins of Excision Microwaves Middle Aged Neoplasm Recurrence, Local Neoplasm Staging Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Radiomics Retrospective Studies Risk Assessment Risk Factors Time Factors Tomography, X-Ray Computed Treatment Outcome
View on PubMed DOI

Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation.

BMC cardiovascular disorders 39134969
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...
Age Factors Aged Aged, 80 and over Atrial Fibrillation China Decision Support Techniques East Asian People Female Humans Incidence Machine Learning Male Predictive Value of Tests Prognosis Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Thromboembolism
View on PubMed DOI

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 39116963
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...
Aged Aged, 80 and over Clinical Decision-Making Decision Support Techniques Female Humans Infarction, Middle Cerebral Artery Ischemic Stroke Machine Learning Male Medical Futility Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Risk Assessment Risk Factors Thrombectomy Time Factors Tomography, X-Ray Computed Treatment Outcome
View on PubMed DOI

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 39091119
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...
Aged Cardiac Catheterization Coronary Angiography Coronary Artery Disease Coronary Stenosis Coronary Vessels Databases, Factual Decision Support Techniques Female Fractional Flow Reserve, Myocardial Humans Male Middle Aged Plaque, Atherosclerotic Predictive Value of Tests Reproducibility of Results Severity of Illness Index Software Supervised Machine Learning Tomography, Optical Coherence
View on PubMed DOI

Transparency, Evaluation and Going From "Ethics-Washing" to Enforceable Regulation: On Machine Learning-Driven Clinician Decision Aids.

The American journal of bioethics : AJOB 39225998
Decision Support Techniques Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals