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Artificial Intelligence in Medicine|August 24, 2024
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patientsMiao Liao, Shuanhu Di, Yuqian Zhao, et al.Artificial Intelligence in Medicine|June 9, 2024
A comprehensive survey on the use of deep learning techniques in glioblastomaIchraq El Hachimy, Douae Kabelma, Chaimae Echcharef, et al.Artificial Intelligence in Medicine|May 29, 2024
Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric mapsGiulia Maria Mattia, Edouard Villain, Federico Nemmi, et al.Artificial Intelligence in Medicine|June 6, 2024
Consensus modeling: Safer transfer learning for small health systemsRoshan Tourani, Dennis H Murphree, Adam Sheka, et al.Artificial Intelligence in Medicine|June 5, 2024
Systematic literature review on reinforcement learning in non-communicable disease interventionsYanfeng Zhao, Jun Kit Chaw, Lin Liu, et al.Artificial Intelligence in Medicine|July 6, 2024
Vision-based estimation of fatigue and engagement in cognitive training sessionsYanchen Wang, Adam Turnbull, Yunlong Xu, et al.Artificial Intelligence in Medicine|July 5, 2024
Leveraging VQ-VAE tokenization for autoregressive modeling of medical time seriesYoonhyung Lee, Younhyung Chae, Kyomin JungArtificial Intelligence in Medicine|October 2, 2023
Machine learning for administrative health records: A systematic review of techniques and applicationsAdrian Caruana, Madhushi Bandara, Katarzyna Musial, et al.Artificial Intelligence in Medicine|October 2, 2023
Fair and equitable AI in biomedical research and healthcare: Social science perspectivesRenate Baumgartner, Payal Arora, Corinna Bath, et al.Artificial Intelligence in Medicine|October 2, 2023
DDI-GCN: Drug-drug interaction prediction via explainable graph convolutional networksYi Zhong, Houbing Zheng, Xiaoming Chen, et al.Pageof 248