Results 21 to 30 of about 18,135,245 (306)

Automatic treatment planning based on three‐dimensional dose distribution predicted from deep learning technique

open access: yesMedical Physics (Lancaster), 2018
PURPOSE To develop an automated treatment planning strategy for external beam intensity-modulated radiation therapy (IMRT), including a deep learning-based three-dimensional (3D) dose prediction and a dose distribution-based plan generation algorithm ...
Jiawei Fan   +5 more
semanticscholar   +1 more source

The rationale for MR-only treatment planning for external radiotherapy

open access: yesClinical and Translational Radiation Oncology, 2019
Highlights • MR-only treatment planning could improve the spatial accuracy of radiotherapy.• The benefit compared to a mixed MR-CT workflow will vary between patient groups.• Further development of QA tools is needed before the procedure will save ...
J. Jonsson, T. Nyholm, K. Söderkvist
semanticscholar   +1 more source

The importance of implant-supported overdentures in a bimaxillary complete edentulous patient – case report

open access: yesActa Stomatologica Marisiensis, 2019
Introduction. Complete edentulism is escorted by various comorbidities, which affect an individual. The management of edentulous patients was approached since the early days of dentistry.
Melchner Valentin   +2 more
doaj   +1 more source

Design of HIFU Treatment Plans Using Thermodynamic Equilibrium Algorithm

open access: yesAlgorithms, 2022
High-intensity focused ultrasound (HIFU) is a non-invasive medical procedure, which is mainly used to ablate tumors externally by focusing on them with high-frequency ultrasound.
Salman Lari   +3 more
doaj   +1 more source

Development of an Anthropomorphic Heterogeneous Female Pelvic Phantom and Its Comparison with a Homogeneous Phantom in Advance Radiation Therapy: Dosimetry Analysis

open access: yesMedical Sciences, 2023
Background: Accurate dosimetry is crucial in radiotherapy to ensure optimal radiation dose delivery to the tumor while sparing healthy tissues. Traditional dosimetry techniques using homogeneous phantoms may not accurately represent the complex ...
Neha Yadav   +3 more
doaj   +1 more source

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

open access: yesMedical Physics (Lancaster), 2018
PURPOSE This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of Physicists in Medicine.
Jinzhong Yang   +16 more
semanticscholar   +1 more source

Targetability of cervical cancer by magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU)-mediated hyperthermia (HT) for patients receiving radiation therapy

open access: yesInternational Journal of Hyperthermia, 2021
Purpose To evaluate the targetability of late-stage cervical cancer by magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU)-induced hyperthermia (HT) as an adjuvant to radiation therapy (RT). Methods Seventy-nine cervical cancer patients
Lifei Zhu   +8 more
doaj   +1 more source

Orthodontic Treatment Planning based on Artificial Neural Networks

open access: yesScientific Reports, 2019
In this study, multilayer perceptron artificial neural networks are used to predict orthodontic treatment plans, including the determination of extraction-nonextraction, extraction patterns, and anchorage patterns.
Peilin Li   +7 more
semanticscholar   +1 more source

Towards FLASH proton therapy: the impact of treatment planning and machine characteristics on achievable dose rates

open access: yesActa oncologica, 2019
Background: This study aimed at evaluating spatially varying instantaneous dose rates for different intensity-modulated proton therapy (IMPT) planning strategies and delivery scenarios, and comparing these with FLASH dose rates (>40 Gy/s).
S. van de Water   +4 more
semanticscholar   +1 more source

AI in Orthodontics: Revolutionizing Diagnostics and Treatment Planning—A Comprehensive Review

open access: yesJournal of Clinical Medicine
The advent of artificial intelligence (AI) in medicine has transformed various medical specialties, including orthodontics. AI has shown promising results in enhancing the accuracy of diagnoses, treatment planning, and predicting treatment outcomes.
Natalia Kazimierczak   +5 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy