Results 341 to 350 of about 34,016,939 (394)

Performance of the GRACE and the ACTION risk model in the prediction of in-hospital mortality: external validation, model revision and updating in the Thai Percutaneous Coronary Intervention Registry. [PDF]

Open Heart
Kiatchoosakun S, Chamnarnphol N, Wongwipaporn C, Pussadhamma B, Roongsangmanoon W, Siriyotha S, Thakkinstian A, Sansanayudh N.   +7 more
europepmc   +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

Development of a Prognostic Risk Model for Esophageal Cancer Based on M0 Macrophage-Related Genes. [PDF]

Onco Targets Ther
Zuo X, Wang F, Liu G, Xie S, Deng S, Wang Y.   +5 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

Construction and clinical application of a risk model based on N6-methyladenosine regulators for colorectal cancer. [PDF]

PeerJ
Zhu H, Yang Y, Zhou Z.
europepmc   +1 more source

Intensive care unit-based mortality risk model construction for severe fever with thrombocytopenia syndrome patients: a retrospective study. [PDF]

BMC Infect Dis
Liu P, Liu F, Wang C, Mu A, Niu C, Zhu S, Wang J.   +6 more
europepmc   +1 more source

A competing risk model analysis of dexmedetomidine of in-hospital mortality in subarachnoid hemorrhage patients. [PDF]

Sci Rep
Wang ZJ, Lin TH.
europepmc   +1 more source

Prognostic evaluation in gallbladder carcinoma: Introducing a composite risk model integrating nutritional and immune markers. [PDF]

Biomol Biomed
Yang SQ, Zou RQ, Dai YS, Hu HJ, Li FY.
europepmc   +1 more source

Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma. [PDF]

Transl Oncol
Li Y, Hong X, Xu W, Guo J, Su Y, Li H, Xie Y, Chen X, Zheng X, Qiu S.   +9 more
europepmc   +1 more source

Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma. [PDF]

Sci Rep
Huang Y, Luo G, Sheng X, Li J.
europepmc   +1 more source