AIMC Topic: Monte Carlo Method

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Is deep learning-enabled real-time personalized CT dosimetry feasible using only patient images as input?

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) May 29, 2024
PURPOSE: To propose a novel deep-learning based dosimetry method that allows quick and accurate estimation of organ doses for individual patients, using only their computed tomography (CT) images as input.
Deep Learning Time Factors Image Processing, Computer-Assisted Humans Precision Medicine Tomography, X-Ray Computed Radiometry Feasibility Studies Radiation Dosage Monte Carlo Method
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Empirical validation of Conformal Prediction for trustworthy skin lesions classification.

Computer methods and programs in biomedicine May 27, 2024
BACKGROUND AND OBJECTIVE: Uncertainty quantification is a pivotal field that contributes to realizing reliable and robust systems. It becomes instrumental in fortifying safe decisions by providing complementary information, particularly within high-r...
Algorithms Skin Neoplasms Deep Learning Skin Monte Carlo Method Uncertainty Humans Neural Networks, Computer
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NPEX: Never give up protein exploration with deep reinforcement learning.

Journal of molecular graphics & modelling May 25, 2024
Elucidating unknown structures of proteins, such as metastable states, is critical in designing therapeutic agents. Protein structure exploration has been performed using advanced computational methods, especially molecular dynamics and Markov chain ...
Monte Carlo Method Markov Chains Dipeptides Protein Conformation Proteins Molecular Dynamics Simulation Algorithms Deep Learning
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Refining the rheological characteristics of high drug loading ointment via SDS and machine learning.

PloS one May 9, 2024
This paper presents an optimized preparation process for external ointment using the Definitive Screening Design (DSD) method. The ointment is a Traditional Chinese Medicine (TCM) formula developed by Professor WYH, a renowned TCM practitioner in Jia...
Monte Carlo Method Rheology Drug Compounding Machine Learning Ointments Sodium Dodecyl Sulfate Medicine, Chinese Traditional Drugs, Chinese Herbal
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Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model.

European journal of clinical pharmacology May 8, 2024
PURPOSE: To investigate the pharmacokinetic changes of linezolid in patients with hepatic impairment and to explore a method to predict linezolid exposure.
Humans Machine Learning Thrombocytopenia Middle Aged Aged Area Under Curve Adult Models, Biological Male Anti-Bacterial Agents Female Risk Factors Liver Diseases Monte Carlo Method Linezolid
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A deep-learning-based scatter correction with water equivalent path length map for digital radiography.

Radiological physics and technology May 2, 2024
We proposed a new deep learning (DL) model for accurate scatter correction in digital radiography. The proposed network featured a pixel-wise water equivalent path length (WEPL) map of subjects with diverse sizes and 3D inner structures. The proposed...
Tomography, X-Ray Computed Deep Learning Water Humans Algorithms Monte Carlo Method Scattering, Radiation Imaging, Three-Dimensional Phantoms, Imaging Image Processing, Computer-Assisted Radiographic Image Enhancement Signal-To-Noise Ratio
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Deep learning for high-resolution dose prediction in high dose rate brachytherapy for breast cancer treatment.

Physics in medicine and biology Apr 30, 2024
Monte Carlo (MC) simulations are the benchmark for accurate radiotherapy dose calculations, notably in patient-specific high dose rate brachytherapy (HDR BT), in cases where considering tissue heterogeneities is critical. However, the lengthy computa...
Radiation Dosage Brachytherapy Radiotherapy Dosage Monte Carlo Method Breast Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Humans Tomography, X-Ray Computed Female
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Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.

Sensors (Basel, Switzerland) Apr 15, 2024
This study aims to enhance diagnostic capabilities for optimising the performance of the anaerobic sewage treatment lagoon at Melbourne Water's Western Treatment Plant (WTP) through a novel machine learning (ML)-based monitoring strategy. This strate...
Neural Networks, Computer Machine Learning Biofuels Anaerobiosis Calibration Bayes Theorem Monte Carlo Method Sewage
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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...
Humans Prospective Studies Radiotherapy Dosage Monte Carlo Method Uncertainty Prostate Radiotherapy Planning, Computer-Assisted Brachytherapy Reproducibility of Results Male Deep Learning
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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...
Humans Photons Deep Learning Proof of Concept Study Child Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Monte Carlo Method
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