AI Medical Compendium Journal:
Biomedical physics & engineering express

Showing 11 to 20 of 142 articles

Portal dose image prediction using Monte Carlo generated transmission energy fluence maps of dynamic radiotherapy treatment plans: a deep learning approach.

Biomedical physics & engineering express Apr 9, 2025
This work aims to develop and investigate the feasibility of a hybrid model combining Monte Carlo (MC) simulations and deep learning (DL) to predict electronic portal imaging device (EPID) images based on MC-generated exit phase space energy fluence ...
Monte Carlo Method Phantoms, Imaging Particle Accelerators Computer Simulation Neoplasms Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Image Processing, Computer-Assisted Algorithms Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Rapid dose prediction for lung CyberKnife radiotherapy plans utilizing a deep learning approach by incorporating dosimetric features delivered by noncoplanar beams.

Biomedical physics & engineering express Apr 8, 2025
. The dose distribution of lung cancer patients treated with the CyberKnife (CK) system is influenced by various factors, including tumor location and the direction of CK beams. The objective of this study is to present a deep learning approach that ...
Humans Algorithms Tomography, X-Ray Computed Radiotherapy Dosage Deep Learning Monte Carlo Method Radiosurgery Lung Neoplasms Radiometry Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Intelligent progress monitoring of healing wound tissues based on classification models.

Biomedical physics & engineering express Mar 26, 2025
The evolution of wound monitoring techniques has seen a significant shift from traditional methods like ruler-based measurements to the use of AI-assisted assessment of wound tissues. This progression has been driven by the need for more accurate, ef...
Decision Trees Bayes Theorem Wounds and Injuries Algorithms Support Vector Machine Wound Healing Humans Artificial Intelligence
View on PubMed DOI

Initial characterization of a novel dual-robot orthovoltage radiotherapy system.

Biomedical physics & engineering express Mar 17, 2025
Adequate access to radiotherapy is a critical global concern affecting low-resource settings such as low- and middle-income countries and rural regions. We propose to reduce this disparity by developing a novel low-cost radiotherapy device that treat...
Humans Computer Simulation Robotics Equipment Design Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiometry Monte Carlo Method Radiotherapy Phantoms, Imaging
View on PubMed DOI

Exploring the application of deep learning methods for polygenic risk score estimation.

Biomedical physics & engineering express Mar 13, 2025
. Polygenic risk scores (PRS) summarise genetic information into a single number with clinical and research uses. Deep learning (DL) has revolutionised multiple fields, however, the impact of DL on PRSs has been less significant. We explore how DL ca...
Genetic Predisposition to Disease Polymorphism, Single Nucleotide Models, Genetic United Kingdom Multifactorial Inheritance Genetic Risk Score Deep Learning Genome-Wide Association Study ROC Curve Algorithms Risk Factors Risk Assessment Humans
View on PubMed DOI

Reconstruction of ECG from ballistocardiogram using generative adversarial networks with attention.

Biomedical physics & engineering express Mar 12, 2025
Electrocardiogram (ECG) is widely used to provide early warning signals for cardiovascular diseases. However, traditional twelve-lead ECG monitoring methods and smartwatch-based home solutions are unable to achieve daily long-term monitoring. Therefo...
Algorithms Electrocardiography Signal Processing, Computer-Assisted Generative Adversarial Networks Heart Rate Humans Ballistocardiography Neural Networks, Computer
View on PubMed DOI

Hierarchical agent transformer network for COVID-19 infection segmentation.

Biomedical physics & engineering express Mar 12, 2025
Accurate and timely segmentation of COVID-19 infection regions is critical for effective diagnosis and treatment. While convolutional neural networks (CNNs) exhibit strong performance in medical image segmentation, they face challenges in handling co...
Algorithms Tomography, X-Ray Computed SARS-CoV-2 Humans Neural Networks, Computer COVID-19 Image Processing, Computer-Assisted
View on PubMed DOI

Deep learning-assisted identification and localization of ductal carcinoma from bulk tissue in-silico models generated through polarized Monte Carlo simulations.

Biomedical physics & engineering express Mar 4, 2025
Despite significant progress in diagnosis and treatment, breast cancer remains a formidable health challenge, emphasizing the continuous need for research. This simulation study uses polarized Monte Carlo approach to identify and locate breast cancer...
Algorithms Computer Simulation Female Breast Neoplasms Humans Neural Networks, Computer Monte Carlo Method Deep Learning Image Processing, Computer-Assisted Carcinoma, Ductal, Breast
View on PubMed DOI

RAE-Net: a multi-modal neural network based on feature fusion and evidential deep learning algorithm in predicting breast cancer subtypes on DCE-MRI.

Biomedical physics & engineering express Feb 25, 2025
Accurate identification of molecular subtypes in breast cancer is critical for personalized treatment. This study introduces a novel neural network model, RAE-Net, based on Multimodal Feature Fusion (MFF) and the Evidential Deep Learning Algorithm (E...
Adult Breast Neoplasms Middle Aged Female Reproducibility of Results Aged Magnetic Resonance Imaging Dynamic Contrast Enhanced Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Contrast Media Humans Neural Networks, Computer Algorithms
View on PubMed DOI

EffNet: an efficient one-dimensional convolutional neural networks for efficient classification of long-term ECG fragments.

Biomedical physics & engineering express Feb 21, 2025
Early Diagnosis of Cardiovascular disease (CVD) is essential to prevent a person from death in case of a cardiac arrhythmia. Automated ECG classification is required because manual classification by cardiologists is laborious, time-consuming, and pro...
Electrocardiography Databases, Factual Signal Processing, Computer-Assisted Humans Cardiovascular Diseases Neural Networks, Computer Arrhythmias, Cardiac Convolutional Neural Networks Algorithms
View on PubMed DOI
Popular Topics
Popular Journals