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ORCIDArtificial Intelligence in Medicine, Volume 159
Volume 159, 2025
- Qiao Ning, Yue Wang, Yaomiao Zhao, Jiahao Sun, Lu Jiang, Kaidi Wang, Minghao Yin:
DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction. 103023 - Hubert Baniecki
, Bartlomiej Sobieski, Patryk Szatkowski, Przemyslaw Bombinski, Przemyslaw Biecek:
Interpretable machine learning for time-to-event prediction in medicine and healthcare. 103026 - Jinghui Liu, Bevan Koopman, Nathan J. Brown, Kevin Chu, Anthony N. Nguyen:
Generating synthetic clinical text with local large language models to identify misdiagnosed limb fractures in radiology reports. 103027 - Pei-Yan Li, Yu-Wen Huang, Vin-Cent Wu, Jeff Shih-Chieh Chueh, Chi-Shin Tseng, Chung-Ming Chen:
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling. 103028 - Yukang Yang, Yu Wang, Tianyu Liu, Miao Wang, Ming Sun, Shiji Song, Wenhui Fan, Gao Huang:
Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis. 103011 - K. Naveen Kumar, C. Krishna Mohan, Linga Reddy Cenkeramaddi, Navchetan Awasthi:
Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective. 103024 - Muhammad Ahsan, Robertas Damasevicius:
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection. 103025 - Hong Wang, Luhe Zhuang, Yijie Ding, Prayag Tiwari, Cheng Liang:
EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning. 103029 - Gennaro Percannella, Umberto Petruzzello, Francesco Tortorella, Mario Vento:
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis. 103031 - Susanne Ibing, Julian Hugo, Florian Borchert, Linea Schmidt, Caroline Benson, Allison A. Marshall, Colleen Chasteau, Ujunwa Korie, Diana Paguay, Jan-Philipp Sachs, Bernhard Y. Renard, Judy H. Cho, Erwin P. Böttinger, Ryan C. Ungaro:
Electronic Health Records-based identification of newly diagnosed Crohn's Disease cases. 103032
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