Federated learning is the process of develo** machine learning models over datasets
distributed across data centers such as hospitals, clinical research labs, and mobile devices …

Recent advancements in deep learning have led to a resurgence of medical imaging and
Electronic Medical Record (EMR) models for a variety of applications, including clinical …

Background The aim of this study was to develop and evaluate a deep neural network
model in the automated detection of pulmonary embolism (PE) from computed tomography …

The first-choice imaging test for visualization of thromboemboli in the pulmonary vasculature
in patients with suspected acute pulmonary embolism (PE) is multidetector computed …

Pulmonary Embolism (PE) represents a thrombus (“blood clot”), usually originating from a
lower extremity vein, that travels to the blood vessels in the lung, causing vascular …

The Internet of Medical Things (IoMT) has revolutionized Ambient Assisted Living (AAL) by
interconnecting smart medical devices. These devices generate a large amount of data …

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 …

This paper presents an artificial intelligence-based classification model for the detection of
pulmonary embolism in computed tomography angiography. The proposed model …

Pulmonary embolism (PE) represents a thrombus (“blood clot”), usually originating from a
lower extremity vein, that travels to the blood vessels in the lung, causing vascular …

Pulmonary Embolism (PE) is a life-threatening disorder associated with high mortality and
morbidity. Prompt diagnosis and immediate initiation of therapeutic action is important. We …