AI Medical Compendium Journal:
IEEE transactions on bio-medical engineering

Showing 1 to 10 of 342 articles

Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound.

IEEE transactions on bio-medical engineering Mar 21, 2025
We explore the potential of deep convolutional neural network (CNN) models for differential diagnosis of gout from musculoskeletal ultrasound (MSKUS). Our exhaustive study of state-of-the-art (SOTA) CNN image classification models for this problem re...
Humans Neural Networks, Computer Diagnosis, Differential Image Interpretation, Computer-Assisted Ultrasonography Gout Musculoskeletal System
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Multiple Instance Learning-Based Prediction of Blood-Brain Barrier Opening Outcomes Induced by Focused Ultrasound.

IEEE transactions on bio-medical engineering Mar 21, 2025
OBJECTIVE: Targeted blood-brain barrier (BBB) opening using focused ultrasound (FUS) and micro/nanobubbles is a promising method for brain drug delivery. This study aims to explore the feasibility of multiple instance learning (MIL) in accurate and f...
Multiple-Instance Learning Algorithms Microbubbles Sulfur Hexafluoride Ultrasonography Mice Animals Signal Processing, Computer-Assisted Phospholipids Contrast Media Blood-Brain Barrier Machine Learning Drug Delivery Systems
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Quadrupole Magnetic Tweezers for Precise Cell Transportation.

IEEE transactions on bio-medical engineering Mar 21, 2025
This research introduces a quadrupole magnetic tweezers which can be used for precise cell transportation by actuating magnetic spherical microrobots. The focus of the system is on navigating and manipulating cells within environments characterized b...
Robotics Equipment Design Micromanipulation Magnetics Humans Animals
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Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks.

IEEE transactions on bio-medical engineering Mar 21, 2025
OBJECTIVE: To develop a novel method for improved screening of sleep apnea in home environments, focusing on reliable estimation of the Apnea-Hypopnea Index (AHI) without the need for highly precise event localization.
Female Adult Male Neural Networks, Computer Algorithms Sleep Apnea Syndromes Polysomnography Deep Learning Signal Processing, Computer-Assisted Middle Aged Humans
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A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems.

IEEE transactions on bio-medical engineering Mar 21, 2025
This paper proposes a method to learn approximations of missing Ordinary Differential Equations (ODEs) and states in physiological models where knowledge of the system's relevant states and dynamics is incomplete. The proposed method augments known O...
Humans Computer Simulation Neural Networks, Computer Bayes Theorem Algorithms Models, Biological
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PULSE: A DL-Assisted Physics-Based Approach to the Inverse Problem of Electrocardiography.

IEEE transactions on bio-medical engineering Mar 21, 2025
This study introduces an innovative approach combining deep-learning techniques with classical physics-based electrocardiographic imaging (ECGI) methods. Our objective is to enhance the accuracy and robustness of ECGI reconstructions. We reshape the ...
Signal Processing, Computer-Assisted Heart Electrocardiography Bayes Theorem Humans Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM.

IEEE transactions on bio-medical engineering Mar 21, 2025
For people with Type 1 diabetes (T1D), accurate blood glucose (BG) forecasting is crucial for the effective delivery of insulin by Artificial Pancreas (AP) systems. Deep learning frameworks like Long Short-Term-Memory (LSTM) have been widely used to ...
Humans Diabetes Mellitus, Type 1 Signal Processing, Computer-Assisted Blood Glucose Self-Monitoring Deep Learning Adult Blood Glucose
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Ventricular Arrhythmia Classification Using Similarity Maps and Hierarchical Multi-Stream Deep Learning.

IEEE transactions on bio-medical engineering Feb 20, 2025
OBJECTIVE: Ventricular arrhythmias are the primary arrhythmias that cause sudden cardiac death. We address the problem of classification between ventricular tachycardia (VT), ventricular fibrillation (VF) and non-ventricular rhythms (NVR).
Arrhythmias, Cardiac Tachycardia, Ventricular Deep Learning Humans Electrocardiography Ventricular Fibrillation Algorithms Signal Processing, Computer-Assisted
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Robust Myocardial Perfusion MRI Quantification With DeepFermi.

IEEE transactions on bio-medical engineering Feb 20, 2025
Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing the blood supply of the myocardium. Currently, the majority of clinical perfusion scans are evaluated based on visual assessment by experienced clinicia...
Image Processing, Computer-Assisted Myocardial Perfusion Imaging Magnetic Resonance Imaging Humans Perfusion Magnetic Resonance Imaging Algorithms Heart Neural Networks, Computer Deep Learning
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KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a Smartwatch.

IEEE transactions on bio-medical engineering Feb 20, 2025
Accurate extraction of heart rate from photoplethysmography (PPG) signals remains challenging due to motion artifacts and signal degradation. Although deep learning methods trained as a data-driven inference problem offer promising solutions, they of...
Photoplethysmography Signal Processing, Computer-Assisted Heart Rate Deep Learning Wearable Electronic Devices Humans Algorithms Male
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