Results 41 to 50 of about 27,683,163 (345)

Design of HIFU Treatment Plans Using Thermodynamic Equilibrium Algorithm

Algorithms, 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, Sang Wook Han, Jong Uk Kim, Hyock Ju Kwon   +3 more
doaj   +1 more source

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

Journal 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, Wojciech Kazimierczak, Zbigniew Serafin, Paweł Nowicki, Jakub Nożewski, Joanna Janiszewska-Olszowska   +5 more
semanticscholar   +1 more source

Auto-segmentation for Thoracic Radiation Treatment Planning: A Grand Challenge at AAPM 2017

Medical 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.
Jin-Zhong Yang, H. Veeraraghavan, S. Armato, K. Farahani, J. Kirby, Jayashree Kalpathy-Cramer, W. van Elmpt, A. Dekker, Xiao Han, Xue Feng, P. Aljabar, B. Oliveira, B. van der Heyden, L. Zamdborg, Dao Lam, M. Gooding, G. Sharp   +16 more
semanticscholar   +1 more source

Wastewater Treatment Facilities: Inventory and Planning Guide

, 1988
This report provides an overview of facilities, wastewater treatment planning, and agencies. It is designed to complement the "Monmouth County Sanitary Sewerage Facilities Map," published in June 1988.

core   +1 more source

Personnel Planning Information [PDF]

, 2008
2 p. Document regarding personnel planning information.
University of Oregon. Budget and Resource Planning
core   +2 more sources

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

Medical 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, Manisha Singh, Surendra P. Mishra, Shahnawaz Ansari   +3 more
doaj   +1 more source

Artificial intelligence for orthodontic diagnosis and treatment planning: A scoping review.

E -journal of dentistry
OBJECTIVES To provide an overview of artificial intelligence (AI) applications in orthodontic diagnosis and treatment planning, and to evaluate whether AI improves accuracy, reliability, and time efficiency compared to expert-based manual approaches ...
R. Gracea, Nicolas Winderickx, Michiel Vanheers, Julie Hendrickx, Flavia Preda, S. Shujaat, Maria Cadenas de Llano Perula, Reinhilde Jacobs   +7 more
semanticscholar   +1 more source

MR‐based treatment planning in radiation therapy using a deep learning approach

Journal of Applied Clinical Medical Physics, 2019
Purpose To develop and evaluate the feasibility of deep learning approaches for MR‐based treatment planning (deepMTP) in brain tumor radiation therapy. Methods and materials A treatment planning pipeline was constructed using a deep learning approach to ...
Fang Liu, P. Yadav, A. Baschnagel, A. McMillan   +3 more
semanticscholar   +1 more source

Orthodontic Treatment Planning based on Artificial Neural Networks

Scientific 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, De-Yu Kong, Tian Tang, D. Su, Pu Yang, Huixia Wang, Zhi-He Zhao, Yang Liu   +7 more
semanticscholar   +1 more source

Application of machine learning in dentistry: insights, prospects and challenges

Acta Odontologica Scandinavica
Background: Machine learning (ML) is transforming dentistry by setting new standards for precision and efficiency in clinical practice, while driving improvements in care delivery and quality.
Lin Wang, Yanyan Xu, Weiqian Wang, Yuanyuan Lu   +3 more
doaj   +1 more source