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ORCIDArtificial Intelligence in Medicine, Volume 140
Volume 140, June 2023
- Saroj Basnet
, Sirvan Parasteh, Alireza Manashty, Brandon Sasyniuk:
RIMD: A novel method for clinical prediction. 102526 - Mohammad Eslami, Solale Tabarestani, Malek Adjouadi:
A unique color-coded visualization system with multimodal information fusion and deep learning in a longitudinal study of Alzheimer's disease. 102543
- Line Farah, Julie Davaze-Schneider, Tess Martin, Pierre Nguyen, Isabelle Borget, Nicolas Martelli:
Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review. 102547
- Xiang Pan, Chuangqi Wang, Yudong Yu, Natasa Reljin, David D. McManus, Chad E. Darling, Ki H. Chon, Yitzhak Mendelson, Kwonmoo Lee:
Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance. 102548 - Martin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski, Marc Carrier:
Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines. 102550 - Hajer Ayadi, Mouna Torjmen Khemakhem, Jimmy X. Huang:
Term dependency extraction using rule-based Bayesian Network for medical image retrieval. 102551
- Lin Yang, Xiaoshuo Huang, Jiayang Wang, Xin Yang, Lingling Ding, Zixiao Li, Jiao Li:
Identifying stroke-related quantified evidence from electronic health records in real-world studies. 102552
- Jhon Jairo Sáenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrés, Jon Ander Gómez, María de la Iglesia-Vayá:
Automatic semantic segmentation of the lumbar spine: Clinical applicability in a multi-parametric and multi-center study on magnetic resonance images. 102559
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