Andre Dekker
Andre Dekker (born June 20, 1974) is a Dutch medical physicist, author, and academic who is a Professor and Head of Clinical Data Science at Maastricht University (UM), Maastricht UMC+ and Maastro Clinic. He also holds the position of Chief Scientific Officer at Medical Data Works.Dekker's research centers on federated FAIR data infrastructures, AI for health outcome prediction models, and applying AI to enhance patient and citizen health. He has written of 250 articles and is the co-author of the book ''Fundamentals of Clinical Data Science''. Provided by Wikipedia
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Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapy by Meng Yan, Zhen Zhang, Jia Tian, Jiaqi Yu, Andre Dekker, Dirk de Ruysscher, Leonard Wee, Lujun Zhao
Published 2025-01-01Get full text
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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach
Published 2025-08-01Get full text
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Positron emission tomography imaging biomarker and artificial intelligence for the characterization of solitary pulmonary nodule by Ashish Kumar Jha, Ashish Kumar Jha, Umeshkumar Baburao Sherkhane, Umeshkumar Baburao Sherkhane, Nilendu C. Purandare, Nilendu C. Purandare, Leonard Wee, Andre Dekker, Venkatesh Rangarajan, Venkatesh Rangarajan
Published 2025-07-01Get full text
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Corrigendum to “Artificial intelligence in breast cancer radiotherapy: Insights from the Toolbox Consortium Delphi study” [The Breast, Volume 83 (2025) 104537] by Orit Kaidar-Person, André Pfob, Vincenzo Valentini, Marianne Aznar, Andre Dekker, Icro Meattini, Jana de Boniface, David Krug, Maria Joao Cardoso, Giuseppe Curigliano, Peter Dubsky, Philip Poortmans
Published 2025-10-01Get full text
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Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy by Inigo Bermejo, Jian Zheng, Zhen Zhang, Jian Zeng, Min Fang, Leonard Wee, Andre Dekker, Tianchen Luo, Meng Yan, Haixia Shen, Kaiyi Tao, Jingping Yuan, Dirk De Ruysscher, Wencheng Zhang, Youhua Jiang, Yongling Ji
Published 2025-03-01Get full text
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