未登录The association between sepsis and diagnostic errors: A secondary analysis of the Utility of Predictive Systems for Diagnostic Error study脓毒症与诊断错误之间的关联：诊断错误预测系统效用研究的二次分析
Prasad, Priya A.; Hubbard, Colin; Lee, Tiffany; Ranji, Sumant R.; Raffel, Katie; Valdes, Gilmer; Boscardin, John; Dalal, Anuj K.; Harris, Alyssa; Flynn, Ellen; Schnipper, Jeffrey L.; Auerbach, Andrew .png)
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收藏Multi-institutional atlas of brain metastases informs spatial modeling for precision imaging and personalized therapy多机构脑转移瘤图谱为精准影像和个性化治疗的空间建模提供信息Barrios, Jorge; Porter, Evan; Capaldi, Dante P. I.; Upadhaya, Taman; Chen, William C.; Perks, Julian R.; Apte, Aditya; Aristophanous, Michalis; Locastro, Eve; Hsu, Dylan; Stone, Payton H.; Villanueva-Meyer, Javier E.; Valdes, Gilmer; Jiang, Fei; Maddalena, Michael; Ballangrud, Ase; Prezelski, Kayla; Lin, Hui; Sun, Jinger Y.; Aldin, Muhtada A. K.; Chau, Oi Wai; Ziemer, Benjamin; Seaberg, Maasa; Sneed, Penny K.; Nakamura, Jean L.; Boreta, Lauren C.; Fogh, Shannon E.; Raleigh, David R.; Chew, Jessica; Vasudevan, Harish; Cha, Soonmee; Hess, Christopher; Fragoso, Ruben; Shultz, David B.; Pike, Luke; Hervey-Jumper, Shawn L.; Tsang, Derek S.; Theodosopoulos, Philip; Cooke, Daniel; Benedict, Stanley H.; Sheng, Ke; Seuntjens, Jan; Coolens, Catherine; Deasy, Joe; Braunstein, Steve; Morin, Olivier 分享 收藏 分享 收藏 The Accuracy of Artificial Intelligence ChatGPT in Oncology Examination Questions人工智能ChatGPT在肿瘤学考试试题中的准确性Chow, Ronald; Hasan, Shaakir; Zheng, Ajay; Gao, Chenxi; Valdes, Gilmer; Yu, Francis; Chhabra, Arpit; Raman, Srinivas; Choi, J. Isabelle; Lin, Haibo; Simone, Charles B. 分享 收藏 Multi-modal fusion and feature enhancement U-Net coupling with stem cell niches proximity estimation for voxel-wise GBM recurrence predictionJiao, Changzhe; Lao, Yi; Zhang, Wenwen; Braunstein, Steve; Salans, Mia; Villanueva-Meyer, Javier; Hervey-Jumper, Shawn L.; Yang, Bo; Morin, Olivier; Valdes, Gilmer; Fan, Zhaoyang; Shiroishi, Mark; Zada, Gabriel; Sheng, Ke; Yang, Wensha 分享 收藏 Analysis of Clinical Criteria for Discharge Among Patients Hospitalized for COVID-19: Development and Validation of a Risk Prediction ModelSchnipper, Jeffrey L.; Oreper, Sandra; Hubbard, Colin C.; Kurbegov, Dax; Egloff, Shanna A. Arnold; Najafi, Nader; Valdes, Gilmer; Siddiqui, Zishan; O'Leary, Kevin J.; Horwitz, Leora I.; Lee, Tiffany; Auerbach, Andrew D. 分享 收藏 Predicting the Effect of Proton Beam Therapy Technology on Pulmonary Toxicities for Patients With Locally Advanced Lung Cancer Enrolled in the Proton Collaborative Group Prospective Clinical TrialValdes, Gilmer; Scholey, Jessica; Nano, Tomi F.; Gennatas, Efstathios D.; Mohindra, Pranshu; Mohammed, Nasir; Zeng, Jing; Kotecha, Rupesh; Rosen, Lane R.; Chang, John; Tsai, Henry K.; Urbanic, James J.; Vargas, Carlos E.; Yu, Nathan Y.; Ungar, Lyle H.; Eaton, Eric; Simone, Charles B. 分享 收藏 Multi-institutional Development and External Validation of a Machine Learning Model for the Prediction of Distant Metastasis in Patients Treated by Salvage Radiotherapy for Biochemical Failure After Radical ProstatectomySabbagh, Ali; Tilki, Derya; Feng, Jean; Huland, Hartwig; Graefen, Markus; Wiegel, Thomas; Bohmer, Dirk; Hong, Julian C.; Valdes, Gilmer; Cooperberg, Matthew; Feng, Felix Y.; Mohammad, Tarek; Shelan, Mohamed; D'Amico, Anthony, V; Carroll, Peter R.; Mohamad, Osama 分享 收藏 Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate CancerSabbagh, Ali; Washington, Samuel L.; Tilki, Derya; Hong, Julian C.; Feng, Jean; Valdes, Gilmer; Chen, Ming-Hui; Wu, Jing; Huland, Hartwig; Graefen, Markus; Wiegel, Thomas; Boehmer, Dirk; Cowan, Janet E.; Cooperberg, Matthew; Feng, Felix Y.; Roach, Mack; Trock, Bruce J.; Partin, Alan W.; V. D'Amico, Anthony; Carroll, Peter R.; Mohamad, Osama 分享 收藏 分享 收藏 Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup imagesPetragallo, Rachel; Bertram, Pascal; Halvorsen, Per; Iftimia, Ileana; Low, Daniel A.; Morin, Olivier; Narayanasamy, Ganesh; Saenz, Daniel L.; Sukumar, Kevinraj N.; Valdes, Gilmer; Weinstein, Lauren; Wells, Michelle C.; Ziemer, Benjamin P.; Lamb, James M. 分享 收藏 分享 收藏 Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependencyBarragan-Montero, Ana; Bibal, Adrien; Dastarac, Margerie Huet; Draguet, Camille; Valdes, Gilmer; Nguyen, Dan; Willems, Siri; Vandewinckele, Liesbeth; Holmstrom, Mats; Lofman, Fredrik; Souris, Kevin; Sterpin, Edmond; Lee, John A. 分享 收藏 分享 收藏 An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication将纵向电子健康记录与现实世界数据集成的人工智能框架可实现连续的泛癌症预测Morin, Olivier; Vallieres, Martin; Braunstein, Steve; Ginart, Jorge Barrios; Upadhaya, Taman; Woodruff, Henry C.; Zwanenburg, Alex; Chatterjee, Avishek; Villanueva-Meyer, Javier E.; Valdes, Gilmer; Chen, William; Hong, Julian C.; Yom, Sue S.; Solberg, Timothy D.; Lock, Steffen; Seuntjens, Jan; Park, Catherine; Lambin, Philippe 分享 收藏 分享 收藏 分享 收藏 分享 收藏 Artificial intelligence and machine learning for medical imaging: A technology review医学成像的人工智能和机器学习: 技术综述Barragan-Montero, Ana; Javaid, Umair; Valdes, Gilmer; Nguyen, Dan; Desbordes, Paul; Macq, Benoit; Willems, Siri; Vandewinckele, Liesbeth; Holmstrom, Mats; Lofman, Fredrik; Michiels, Steven; Souris, Kevin; Sterpin, Edmond; Lee, John A. 分享 收藏 分享 收藏 
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