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Artificial Intelligence in Medicine|May 22, 2021
Evaluating diagnostic content of AI-generated radiology reports of chest X-raysZaheer Babar, Twan van Laarhoven, Fabio Massimo Zanzotto, et al.
Artificial Intelligence in Medicine|May 22, 2021
Explaining heterogeneity of individual treatment causal effects by subgroup discovery: An observational case study in antibiotics treatment of acute rhino-sinusitisW Qi, A Abu-Hanna, T E M van Esch, et al.
Artificial Intelligence in Medicine|May 22, 2021
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representationsDavood Karimi, Simon K Warfield, Ali Gholipour
Artificial Intelligence in Medicine|May 22, 2021
Bayesian networks in healthcare: What is preventing their adoption?Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, et al.
Artificial Intelligence in Medicine|May 22, 2021
Fenchel duality of Cox partial likelihood with an application in survival kernel learningChristopher M Wilson, Kaiqiao Li, Qiang Sun, et al.
Artificial Intelligence in Medicine|July 21, 2025
A generalized LLMs framework to support public health financing through probabilistic predictions and uncertainty quantificationDaniele Guariso, Rilwan Adewoyin, Gisela Robles Aguilar, et al.
Artificial Intelligence in Medicine|July 5, 2025
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddingsWeidun Xie, Xingjian Chen, Lei Huang, et al.
Artificial Intelligence in Medicine|July 23, 2025
Ontology-based student testing through clinical guidelines: An AI approachAlessio Bottrighi, Antonio Maconi, Stefano Nera, et al.
Artificial Intelligence in Medicine|June 30, 2025
A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancerLiang Sun, Yongxin Lan, Jian Sun, et al.
Artificial Intelligence in Medicine|June 20, 2025
VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networksBo Wang, Yang He, Xiaoxin Du, et al.
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