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Artificial Intelligence in Medicine|February 7, 2026
A novel ECG QRS complex detection algorithm based on dynamic Bayesian networkQince Li, Yang Liu, Na Zhao, et al.
Artificial Intelligence in Medicine|December 11, 2025
TransFair: Transferring fairness from ocular disease classification to progression predictionMin Shi, Leila Gheisi, Chee-Hung Henry Chu, et al.
Artificial Intelligence in Medicine|December 3, 2025
Artificial intelligence use and performance in detecting and predicting healthcare-associated infections: A systematic reviewChiara Barbati, Luca Viviani, Riccardo Vecchio, et al.
Artificial Intelligence in Medicine|December 3, 2025
Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applicationsMahdi Ghorbankhani, Maryam Safara
Artificial Intelligence in Medicine|November 30, 2025
MedSumGraph: enhancing GraphRAG for medical QA with summarization and optimized promptsDaeHo Kim, SoYeop Yoo, OkRan Jeong
Artificial Intelligence in Medicine|November 30, 2025
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinomaXiaoming Jiang, Guoying Ji, Ye Yan, et al.
Artificial Intelligence in Medicine|December 19, 2024
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniquesWei Shuai, Xuecong Tian, Enguang Zuo, et al.
Artificial Intelligence in Medicine|December 21, 2024
Prediction of radiological decision errors from longitudinal analysis of gaze and image featuresAnna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, et al.
Artificial Intelligence in Medicine|December 14, 2024
Rough hypervolume-driven feature selection with groupwise intelligent sampling for detecting clinical characterization of lupus nephritisXinsen Zhou, Yi Chen, Ali Asghar Heidari, et al.
Artificial Intelligence in Medicine|February 7, 2025
Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box trainingHideaki Okamoto, Quan Huu Cap, Takakiyo Nomura, et al.
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