Adopting artificial intelligence in cardiovascular medicine: A scoping review
H Makimoto, T Kohro - Hypertension Research, 2024 - nature.com
Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …
Electrocardiogram Interpretation Using Artificial Intelligence: Diagnosis of Cardiac and Extracardiac Pathologic Conditions. How Far Has Machine Learning Reached?
G Raileanu, JSSG de Jong - Current Problems in Cardiology, 2024 - Elsevier
Artificial intelligence (AI) is already widely used in different fields of medicine, making
possible the integration of the paraclinical exams with the clinical findings in patients, for a …
possible the integration of the paraclinical exams with the clinical findings in patients, for a …
[HTML][HTML] Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …
Multimodal fusion models for pulmonary embolism mortality prediction
Pulmonary embolism (PE) is a common, life threatening cardiovascular emergency. Risk
stratification is one of the core principles of acute PE management and determines the …
stratification is one of the core principles of acute PE management and determines the …
[HTML][HTML] Screening for RV Dysfunction Using Smartphone ECG Analysis App: Validation Study with Acute Pulmonary Embolism Patients
Background: Acute pulmonary embolism (PE) is a critical condition where the timely and
accurate assessment of right ventricular (RV) dysfunction is important for patient …
accurate assessment of right ventricular (RV) dysfunction is important for patient …
From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management
The high incidence of venous thromboembolism (VTE) globally and the morbidity and
mortality burden associated with the disease make it a pressing issue. Machine learning …
mortality burden associated with the disease make it a pressing issue. Machine learning …
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level
Artificial intelligence-enabled electrocardiogram (ECG) algorithms are gaining prominence
for the early detection of cardiovascular (CV) conditions, including those not traditionally …
for the early detection of cardiovascular (CV) conditions, including those not traditionally …
Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review
Many AI models in the domain of cardiac monitors and smart watches have received Food
and Drug Administration (FDA) clearance for rhythm classification, while others for …
and Drug Administration (FDA) clearance for rhythm classification, while others for …
Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review
V Danilatou, D Dimopoulos… - Thrombosis and …, 2024 - thieme-connect.com
Background: Venous thromboembolism (VTE) is a chronic disorder with a significant health
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
[HTML][HTML] Electrocardiogram Signal Analysis With a Machine Learning Model Predicts the Presence of Pulmonary Embolism With Accuracy Dependent on Embolism …
WE Wysokinski, RA Meverden, F Lopez-Jimenez… - Mayo Clinic …, 2024 - Elsevier
Objective To develop an artificial intelligence deep neural network (AI-DNN) algorithm to
analyze 12-lead electrocardiogram (ECG) for detection of acute PE and PE categories …
analyze 12-lead electrocardiogram (ECG) for detection of acute PE and PE categories …