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Artificial Intelligence in Medicine|November 23, 2024
Interpretable machine learning for time-to-event prediction in medicine and healthcareHubert Baniecki, Bartlomiej Sobieski, Patryk Szatkowski, et al.
Artificial Intelligence in Medicine|November 23, 2024
DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction predictionQiao Ning, Yue Wang, Yaomiao Zhao, et al.
Artificial Intelligence in Medicine|October 9, 2024
Explanatory argument extraction of correct answers in resident medical examsIakes Goenaga, Aitziber Atutxa, Koldo Gojenola, et al.
Artificial Intelligence in Medicine|October 15, 2024
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue statusKun Chen, Shulong Chai, Tianli Xie, et al.
Artificial Intelligence in Medicine|October 2, 2024
A self-supervised deep Riemannian representation to classify parkinsonian fixational patternsEdward Sandoval, Juan Olmos, Fabio Martínez
Artificial Intelligence in Medicine|September 15, 2024
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapyChristoph Düsing, Philipp Cimiano, Sebastian Rehberg, et al.
Artificial Intelligence in Medicine|October 29, 2024
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domainAgnese Bonfigli, Luca Bacco, Mario Merone, et al.
Artificial Intelligence in Medicine|September 12, 2024
MAPRS: An intelligent approach for post-prescription review based on multi-label learningGuangfei Yang, Ziyao Zhou, Aili Ding, et al.
Artificial Intelligence in Medicine|March 4, 2025
TDMFS: Tucker decomposition multimodal fusion model for pan-cancer survival predictionJinchao Chen, Pei Liu, Chen Chen, et al.
Artificial Intelligence in Medicine|March 1, 2025
Unsupervised learning from EEG data for epilepsy: A systematic literature reviewAlexandra-Maria Tautan, Alexandra-Georgiana Andrei, Carmelo Luca Smeralda, et al.
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