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ORCIDArtificial Intelligence in Medicine, Volume 154
Volume 154, 2024
- George H. Chen
, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss:
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate. 102898 - Roshan Tourani, Dennis H. Murphree, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon:
Consensus modeling: Safer transfer learning for small health systems. 102899 - Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi:
Transformers and large language models in healthcare: A review. 102900 - Yanfeng Zhao, Jun Kit Chaw, Lin Liu, Sook Hui Chaw, Mei Choo Ang, Tin Tin Ting:
Systematic literature review on reinforcement learning in non-communicable disease interventions. 102901 - Hojjat Karami, David Atienza, Anisoara Ionescu:
TEE4EHR: Transformer event encoder for better representation learning in electronic health records. 102903 - Xudong Luo, Zhiqi Deng, Binxia Yang, Michael Y. Luo:
Pre-trained language models in medicine: A survey. 102904 - Maria Bampa, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou:
M-ClustEHR: A multimodal clustering approach for electronic health records. 102905 - Gianluca Amprimo, Giulia Masi, Gabriella Olmo, Claudia Ferraris:
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives. 102914 - Wenxuan Xu, Lin Wang, Mingchuan Zhang, Junlong Zhu, Junqiang Yan, Qingtao Wu:
A joint entity Relation Extraction method for document level Traditional Chinese Medicine texts. 102915 - Tianhan Xu, Bin Li, Ling Chen, Chao Yang, Yixun Gu, Xiang Gu:
EHR coding with hybrid attention and features propagation on disease knowledge graph. 102916 - Md. Shariful Alam, Dadong Wang, Arcot Sowmya:
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images. 102917 - Arian Aghilinejad, Alessio Tamborini, Morteza Gharib:
A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning. 102918 - Jiajia Li, Pingping Zhang, Xia Yang, Lei Zhu, Teng Wang, Ping Zhang, Ruhan Liu, Bin Sheng, Kaixuan Wang:
SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images. 102919 - Tristan Beolet, Alice Adenis, Erik Huneker, Maxime Louis:
End-to-end offline reinforcement learning for glycemia control. 102920 - Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic:
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation. 102921 - Faezeh Majzoobi, Mohammad Bagher Khodabakhshi, Shahriar Jamasb, Sobhan Goudarzi:
ConvLSNet: A lightweight architecture based on ConvLSTM model for the classification of pulmonary conditions using multichannel lung sound recordings. 102922 - Yanchen Wang, Adam Turnbull, Yunlong Xu, Kathi L. Heffner, Feng Vankee Lin, Ehsan Adeli:
Vision-based estimation of fatigue and engagement in cognitive training sessions. 102923 - Laura Bergomi, Tommaso Mario Buonocore, Paolo Antonazzo, Lorenzo Alberghi, Riccardo Bellazzi, Lorenzo Preda, Chandra Bortolotto, Enea Parimbelli:
Reshaping free-text radiology notes into structured reports with generative question answering transformers. 102924 - Yoonhyung Lee, Younhyung Chae, Kyomin Jung:
Leveraging VQ-VAE tokenization for autoregressive modeling of medical time series. 102925 - Xiaoqing Zhang, Jilu Zhao, Yan Li, Hao Wu, Xiangtian Zhou, Jiang Liu:
Efficient pyramid channel attention network for pathological myopia recognition with pretraining-and-finetuning. 102926 - Shvat Messica, Dan Presil, Yaacov Hoch, Tsvi Lev, Aviel Hadad, Or Katz, David R. Owens:
Enhancing stroke risk and prognostic timeframe assessment with deep learning and a broad range of retinal biomarkers. 102927 - Arshdeep Kaur, Meenakshi Mittal, Jasvinder Singh Bhatti, Suresh Thareja, Satwinder Singh:
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease. 102928 - Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto:
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. 102929 - Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat:
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. 102932 - Ichraq El Hachimy, Douae Kabelma, Chaimae Echcharef, Mohamed Hassani, Nabil Benamar, Nabil Hajji:
A comprehensive survey on the use of deep learning techniques in glioblastoma. 102902 - Shiyi Wang, Yang Nan, Sheng Zhang, Federico Felder, Xiaodan Xing, Yingying Fang, Javier Del Ser, Simon L. F. Walsh, Guang Yang:
Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method. 102930
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