Promoting the application of pediatric radiomics via an integrated medical engineering approach by Haige Zheng, Fang Wang, Yang Li, Zhicheng Li, Xiaochun Zhang, Xuntao Yin

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Mortality during or shortly after curative-intent radio-(chemo-) therapy over the last decade at a large comprehensive cancer center by Sebastian M. Christ, Jonas Willmann, Philip Heesen, Anja Kühnis, Stephanie Tanadini-Lang, Esmée L. Looman, Maiwand Ahmadsei, David Blum, Matthias Guckenberger, Panagiotis Balermpas, Caroline Hertler, Nicolaus Andratschke

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Nomogram prediction of survival in patients with hilar cholangiocarcinoma: A SEER-Based population study by Lei Yue, Shipeng Dai, Wenhu Zhao, Xiaofeng Qian

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Validation and extension of the METSSS score in a metastatic cancer patient cohort after palliative radiotherapy within the last phase of life by Sebastian M. Christ, Markus Schettle, Jonas Willmann, Maiwand Ahmadsei, Annina Seiler, David Blum, Matthias Guckenberger, Nicolaus Andratschke, Caroline Hertler

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Indirect functional connectivity does not predict overall survival in glioblastoma by Lorenzo Pini, Giuseppe Lombardi, Giulio Sansone, Matteo Gaiola, Marta Padovan, Francesco Volpin, Luca Denaro, Maurizio Corbetta, Alessandro Salvalaggio

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Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction by Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Mohamed I. Elbakary, Khan M. Iftekharuddin

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Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma by Meng-Xin Tian, Wei-Ren Liu, Han Wang, Yu-Fu Zhou, Lei Jin, Xi-Fei Jiang, Chen-Yang Tao, Zheng Tang, Pei-Yun Zhou, Yuan Fang, Wei-Feng Qu, Zhen-Bin Ding, Yuan-Fei Peng, Zhi Dai, Shuang-Jian Qiu, Jian Zhou, Wan Yee Lau, Jia Fan, Ying-Hong Shi

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A Novel Extracellular Matrix Gene-Based Prognostic Model to Predict Overall Survive in Patients With Glioblastoma by Chen Qian, Wu Xiufu, Tang Jianxun, Chen Zihao, Shi Wenjie, Shi Wenjie, Tang Jingfeng, Ulf D. Kahlert, Du Renfei, Du Renfei

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Machine learning survival prediction using tumor lipid metabolism genes for osteosarcoma by Shuai Li, Zhenzhong Zheng, Bing Wang

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Nomogram for predicting survival of older patients with primary ocular adnexal lymphoma by Youran Cai, Yi Du, Wenjin Zou

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A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers by Yueying Wang, Shuai Liu, Zhao Wang, Yusi Fan, Jingxuan Huang, Lan Huang, Zhijun Li, Xinwei Li, Mengdi Jin, Qiong Yu, Fengfeng Zhou

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Predicting Survival of Patients with Lung Cancer Using Improved Adaptive Neuro-Fuzzy Inference System by Ommolbanin Abbasi, Mohammadreza Ramezanpour, Reihaneh Khorsand

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Development and validation of a deep learning survival model for cervical adenocarcinoma patients by Ruowen Li, Wenjie Qu, Qingqing Liu, Yilin Tan, Wenjing Zhang, Yiping Hao, Nan Jiang, Zhonghao Mao, Jinwen Ye, Jun Jiao, Qun Gao, Baoxia Cui, Taotao Dong

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Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks by Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki

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Transcriptomic data in tumor‐adjacent normal tissues harbor prognostic information on multiple cancer types by Euiyoung Oh, Hyunju Lee

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Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis by Meng Sun, Jikui Sun, Meng Li

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Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis by Anna Lemańska-Perek, Dorota Krzyżanowska-Gołąb, Katarzyna Kobylińska, Przemysław Biecek, Tomasz Skalec, Maciej Tyszko, Waldemar Gozdzik, Barbara Adamik

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Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases by Ahtisham Fazeel Abbasi, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, Sebastian Vollmer, Sebastian Vollmer, Andreas Dengel, Andreas Dengel

Subjects: “…survival prediction…”
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Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study by Chenyan Guo, Jue Wang, Yongming Wang, Xinyu Qu, Zhiwen Shi, Yan Meng, Junjun Qiu, Keqin Hua

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Predicting 2-year survival in stage I-III non-small cell lung cancer: the development and validation of a scoring system from an Australian cohort by Natalie Si-Yi Lee, Jesmin Shafiq, Matthew Field, Caroline Fiddler, Suganthy Varadarajan, Senthilkumar Gandhidasan, Eric Hau, Shalini Kavita Vinod

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