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Artificial Intelligence in Medicine|March 10, 2024
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping reviewHarishankar V Subramanian, Casey Canfield, Daniel B Shank
Artificial Intelligence in Medicine|March 31, 2024
Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitationTommaso Turchi, Giuseppe Prencipe, Alessio Malizia, et al.
Artificial Intelligence in Medicine|March 10, 2024
Triplet-branch network with contrastive prior-knowledge embedding for disease gradingYuexiang Li, Yanping Wang, Guang Lin, et al.
Artificial Intelligence in Medicine|March 10, 2024
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximationRawan AlSaad, Qutaibah Malluhi, Alaa Abd-Alrazaq, et al.
Artificial Intelligence in Medicine|March 10, 2024
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scoresAbbas Salami, Javier Andreu-Perez, Helge Gillmeister
Artificial Intelligence in Medicine|July 11, 2024
Enhancing stroke risk and prognostic timeframe assessment with deep learning and a broad range of retinal biomarkersShvat Messica, Dan Presil, Yaacov Hoch, et al.
Artificial Intelligence in Medicine|July 12, 2024
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancerKazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, et al.
Artificial Intelligence in Medicine|March 29, 2024
PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid SegmentationYaqi Wang, Zehua Yang, Xindi Liu, et al.
Artificial Intelligence in Medicine|March 29, 2024
Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platformsAmir Reza Ashraf, Anna Somogyi-Végh, Sára Merczel, et al.
Artificial Intelligence in Medicine|March 29, 2024
RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormerWenfeng Fan, Yue He, Fei Zhu
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