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   Articles with "dose prediction" as a keyword



The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer

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recommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.13583

Abstract: Abstract Purpose To develop a 3D‐Unet dose prediction model to predict the three‐dimensional dose distribution of volumetric modulated arc therapy (VMAT) for cervical cancer and test the dose prediction performance of the model in endometrial… read more here.

Keywords: cervical cancer; endometrial cancer; dose prediction; model ... See more keywords

TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.

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recommendations! Published in 2023 at "Journal of applied clinical medical physics"

DOI: 10.1002/acm2.13942

Abstract: BACKGROUND Intensity-Modulated Radiation Therapy (IMRT) has been the standard of care for many types of tumors. However, treatment planning for IMRT is a time-consuming and labor-intensive process. PURPOSE To alleviate this tedious planning process, a… read more here.

Keywords: prediction algorithm; head neck; based transformers; prediction ... See more keywords

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

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recommendations! Published in 2025 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.70012

Abstract: Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data. This study… read more here.

Keywords: transfer learning; head neck; dose prediction; prediction ... See more keywords

A portal dosimetry dose prediction method based on collapsed cone algorithm using the clinical beam model

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recommendations! Published in 2017 at "Medical Physics"

DOI: 10.1002/mp.12018

Abstract: Purpose: Amorphous silicon electronical portal imaging devices (EPIDs) are widely used for dosimetric measurements in Radiation Therapy. The purpose of this work was to determine if a portal dose prediction method can be utilized for… read more here.

Keywords: prediction method; dose prediction; method; model ... See more keywords

Feasibility study of fast intensity-modulated proton therapy dose prediction method using deep neural networks for prostate cancer.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15702

Abstract: PURPOSE Compared to the pencil-beam algorithm, the Monte-Carlo (MC) algorithm is more accurate for dose calculation but time-consuming in proton therapy. To solve this problem, this study uses deep learning to provide fast 3D dose… read more here.

Keywords: prostate cancer; dose; prediction; proton therapy ... See more keywords

Small beams, fast predictions A comparison of machine learning dose prediction models for proton minibeam therapy.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16066

Abstract: BACKGROUND Dose calculations for novel radiotherapy cancer treatments such as proton minibeam radiation therapy is often done using full Monte Carlo (MC) simulations. As MC simulations can be very time consuming for this kind of… read more here.

Keywords: prediction; proton minibeam; dose prediction; minibeam therapy ... See more keywords

Sub-second photon dose prediction via transformer neural networks.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16231

Abstract: BACKGROUND Fast dose calculation is critical for online and real time adaptive therapy workflows. While modern physics-based dose algorithms must compromise accuracy to achieve low computation times, deep learning models can potentially perform dose prediction… read more here.

Keywords: dose; dose prediction; photon dose; photon ... See more keywords

Can input reconstruction be used to directly estimate uncertainty of a dose prediction U‐Net model?

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recommendations! Published in 2024 at "Medical Physics"

DOI: 10.1002/mp.17287

Abstract: The reliable and efficient estimation of uncertainty in artificial intelligence (AI) models poses an ongoing challenge in many fields such as radiation therapy. AI models are intended to automate manual steps involved in the treatment… read more here.

Keywords: treatment; dose prediction; input reconstruction; reconstruction used ... See more keywords

Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy.

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recommendations! Published in 2024 at "Medical physics"

DOI: 10.1002/mp.17312

Abstract: BACKGROUND Daily adaptive radiotherapy, as performed with the Elekta Unity MR-Linac, requires choosing between different adaptation methods, namely ATP (Adapt to Position) and ATS (Adapt to Shape), where the latter requires daily re-contouring to obtain… read more here.

Keywords: deep learning; dose prediction; prediction; network ... See more keywords
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Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy

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recommendations! Published in 2021 at "Medical image analysis"

DOI: 10.1016/j.media.2020.101886

Abstract: As the main treatment for cancer patients, radiotherapy has achieved enormous advancement over recent decades. However, these achievements have come at the cost of increased treatment plan complexity, necessitating high levels of expertise experience and… read more here.

Keywords: neural networks; sub optimal; dose prediction; prediction ... See more keywords

Toward Dose Prediction at Point of Design.

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recommendations! Published in 2024 at "Journal of medicinal chemistry"

DOI: 10.1021/acs.jmedchem.4c02385

Abstract: Human dose prediction (HDP) is a useful tool for compound optimization in preclinical drug discovery. We describe here our exclusively in silico HDP strategy to triage compound designs for synthesis and experimental profiling. Our goal… read more here.

Keywords: point design; dose prediction; toward dose; prediction point ... See more keywords