AIMC Topic: Monte Carlo Method

Clear Filters Showing 71 to 80 of 331 articles

Aleatoric and epistemic uncertainty extraction of patient-specific deep learning-based dose predictions in LDR prostate brachytherapy.

Physics in medicine and biology Apr 9, 2024
In brachytherapy, deep learning (DL) algorithms have shown the capability of predicting 3D dose volumes. The reliability and accuracy of such methodologies remain under scrutiny for prospective clinical applications. This study aims to establish fast...
Reproducibility of Results Male Deep Learning Radiotherapy Dosage Humans Prostate Monte Carlo Method Prospective Studies Radiotherapy Planning, Computer-Assisted Uncertainty Brachytherapy
View on PubMed DOI

Deep-Learning for Rapid Estimation of the Out-of-Field Dose in External Beam Photon Radiation Therapy - A Proof of Concept.

International journal of radiation oncology, biology, physics Mar 28, 2024
PURPOSE: The dose deposited outside of the treatment field during external photon beam radiation therapy treatment, also known as out-of-field dose, is the subject of extensive study as it may be associated with a higher risk of developing a second c...
Monte Carlo Method Photons Proof of Concept Study Radiotherapy Dosage Humans Deep Learning Child Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations.

Antimicrobial agents and chemotherapy Mar 19, 2024
Daptomycin is a concentration-dependent lipopeptide antibiotic for which exposure/effect relationships have been shown. Machine learning (ML) algorithms, developed to predict the individual exposure to drugs, have shown very good performances in comp...
Area Under Curve Bayes Theorem Monte Carlo Method Male Middle Aged Daptomycin Machine Learning Algorithms Anti-Bacterial Agents Female Aged Adult Humans
View on PubMed DOI

Optimization of Ganciclovir and Valganciclovir Starting Dose in Children by Machine Learning.

Clinical pharmacokinetics Mar 16, 2024
BACKGROUND AND OBJECTIVES: Ganciclovir (GCV) and valganciclovir (VGCV) show large interindividual pharmacokinetic variability, particularly in children. The objectives of this study were (1) to develop machine learning (ML) algorithms trained on simu...
Algorithms Computer Simulation Female Humans Antiviral Agents Machine Learning Area Under Curve Models, Biological Monte Carlo Method Valganciclovir Ganciclovir Adolescent Child, Preschool Child Male Infant
View on PubMed DOI

Monitoring multistage healthcare processes using state space models and a machine learning based framework.

Artificial intelligence in medicine Mar 10, 2024
Monitoring healthcare processes, such as surgical outcomes, with a keen focus on detecting changes and unnatural conditions at an early stage is crucial for healthcare professionals and administrators. In line with this goal, control charts, which ar...
Thyroid Neoplasms Monte Carlo Method Machine Learning Delivery of Health Care Thyroidectomy Humans
View on PubMed DOI

Organ dose prediction for patients undergoing radiotherapy CBCT chest examinations using artificial intelligence.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 5, 2024
PURPOSE: To propose an artificial intelligence (AI)-based method for personalized and real-time dosimetry for chest CBCT acquisitions.
Radiometry Spiral Cone-Beam Computed Tomography Monte Carlo Method Phantoms, Imaging Cone-Beam Computed Tomography Radiation Dosage Humans Radiotherapy Dosage Artificial Intelligence
View on PubMed DOI

A physically constrained Monte Carlo-Neural Network coupling algorithm for BNCT dose calculation.

Medical physics Feb 1, 2024
BACKGROUND: In boron neutron capture therapy (BNCT)-a form of binary radiotherapy-the primary challenge in treatment planning systems for dose calculations arises from the time-consuming nature of the Monte Carlo (MC) method. Recent progress, includi...
Boron Neutron Capture Therapy Neural Networks, Computer Algorithms Humans Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Monte Carlo Method
View on PubMed DOI

Numerical stability of DeepGOPlus inference.

PloS one Jan 29, 2024
Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many problems. Originally applied to computer vision tasks, CNNs work well wi...
Proteins Neural Networks, Computer Amino Acid Sequence Reproducibility of Results Monte Carlo Method
View on PubMed DOI

Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra.

Journal of biomedical optics Jan 11, 2024
SIGNIFICANCE: Machine learning (ML)-enabled diffuse reflectance spectroscopy (DRS) is increasingly used as an alternative to the computation-intensive inverse Monte Carlo (MCI) simulation to predict tissue's optical properties, including the absorpti...
Neural Networks, Computer Computer Simulation Spectrum Analysis Monte Carlo Method Phantoms, Imaging
View on PubMed DOI

Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.

Physics in medicine and biology Jan 5, 2024
The advantage of proton therapy as compared to photon therapy stems from the Bragg peak effect, which allows protons to deposit most of their energy directly at the tumor while sparing healthy tissue. However, even with such benefits, proton therapy ...
Proton Therapy Protons Linear Energy Transfer Radiotherapy Planning, Computer-Assisted Monte Carlo Method Deep Learning Relative Biological Effectiveness
View on PubMed DOI
Popular Topics
Recent Journals