Results 291 to 300 of about 32,991,499 (363)

Leveraging large language models for preoperative prevention of cardiopulmonary bypass-associated acute kidney injury. [PDF]

Ren Fail
Wang K, Lin L, Zheng R, Nan S, Lu X, Duan H.   +5 more
europepmc   +1 more source

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source

From genes to therapy: a lipid Metabolism-Related genetic risk model predicts HCC outcomes and enhances immunotherapy. [PDF]

BMC Cancer
Xu L, Xiao T, Chao T, Xiong H, Yao W.
europepmc   +1 more source

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

An Innovative Approach to Occupational Risk Assessment in OHS: A Case Study on the Verification of the ALrisk Model in Manufacturing Enterprises in Slovakia. [PDF]

Int J Environ Res Public Health
Kuricová A, Hudáková M, Kočkár S, Hollá K.   +3 more
europepmc   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

Interpretable AI-driven multi-objective risk prediction in heart failure patients with thyroid dysfunction. [PDF]

Front Digit Health
Iacoviello M, Santamato V, Pagano A, Marengo A.   +3 more
europepmc   +1 more source

A systematic review and meta-analysis of lung cancer risk prediction models. [PDF]

Acta Oncol
Khalife G, Nilsson M, Peltola L, Waris J, Jekunen A, Leskelä RL, Andersén H, Nuutinen M, Heikkilä E, Nurmi-Rantala S, Torkki P.   +10 more
europepmc   +1 more source