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Publication search results
found 2,364 matches
- 2024
- Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais:
Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine 150: 102820 (2024) - Harsh Agarwal, Heena Rathore:
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators. Artif. Intell. Medicine 147: 102736 (2024) - Arian Aghilinejad, Alessio Tamborini, Morteza Gharib:
A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning. Artif. Intell. Medicine 154: 102918 (2024) - Shahid Akbar, Quan Zou, Ali Raza, Fawaz Khaled Alarfaj:
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks. Artif. Intell. Medicine 151: 102860 (2024) - Rawan AlSaad, Qutaibah M. Malluhi, Alaa A. Abd-Alrazaq, Sabri Boughorbel:
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation. Artif. Intell. Medicine 149: 102802 (2024) - Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson:
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artif. Intell. Medicine 148: 102781 (2024) - Md. Shariful Alam, Dadong Wang, Arcot Sowmya:
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images. Artif. Intell. Medicine 154: 102917 (2024) - Iñigo Alonso, Maite Oronoz, Rodrigo Agerri:
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering. Artif. Intell. Medicine 155: 102938 (2024) - Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, Zaenab Alammar, Mohammed A. Fadhel, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Amjad F. Hasan, Jinshuai Bai, Luke Gilliland, Jing Peng, Marco Branni, Tristan Shuker, Kenneth Cutbush, José Santamaría, Catarina Moreira, Chun Ouyang, Ye Duan, Mohamed Manoufali, Mohammad Jomaa, Ashish Gupta, Amin M. Abbosh, Yuantong Gu:
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. Artif. Intell. Medicine 155: 102935 (2024) - Sarina Aminizadeh, Arash Heidari, Mahshid Dehghan, Shiva Toumaj, Mahsa Rezaei, Nima Jafari Navimipour, Fabio Stroppa, Mehmet Unal:
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service. Artif. Intell. Medicine 149: 102779 (2024) - Gianluca Amprimo, Giulia Masi, Gabriella Olmo, Claudia Ferraris:
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives. Artif. Intell. Medicine 154: 102914 (2024) - Amirhossein Eslami Andargoli, Nalika Ulapane, Tuan Anh Nguyen, Muhammad Nadeem Shuakat, John Zelcer, Nilmini Wickramasinghe:
Intelligent decision support systems for dementia care: A scoping review. Artif. Intell. Medicine 150: 102815 (2024) - 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. Artif. Intell. Medicine 154: 102921 (2024) - Amir Reza Ashraf, Anna Somogyi-Végh, Sára Merczel, Nóra Gyimesi, András Fittler:
Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms. Artif. Intell. Medicine 150: 102844 (2024) - Lei Bai, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang:
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artif. Intell. Medicine 152: 102872 (2024) - Maria Bampa, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou:
M-ClustEHR: A multimodal clustering approach for electronic health records. Artif. Intell. Medicine 154: 102905 (2024) - Christina C. Bartenschlager, Ulrich M. Gassner, Christoph Römmele, Jens O. Brunner, Kerstin Schlögl-Flierl, Paula Ziethmann:
The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications. Artif. Intell. Medicine 152: 102873 (2024) - Tristan Beolet, Alice Adenis, Erik Huneker, Maxime Louis:
End-to-end offline reinforcement learning for glycemia control. Artif. Intell. Medicine 154: 102920 (2024) - 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. Artif. Intell. Medicine 154: 102924 (2024) - Markus Bertl, Nzamba Bignoumba, Peeter Ross, Sadok Ben Yahia, Dirk Draheim:
Evaluation of deep learning-based depression detection using medical claims data. Artif. Intell. Medicine 147: 102745 (2024) - Amit Bhati, Neha Gour, Pritee Khanna, Aparajita Ojha, Naoufel Werghi:
An interpretable dual attention network for diabetic retinopathy grading: IDANet. Artif. Intell. Medicine 149: 102782 (2024) - Anushree Bhattacharya, Madhumangal Pal:
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network. Artif. Intell. Medicine 148: 102783 (2024) - Ivan De Boi, Elissa Embrechts, Quirine Schatteman, Rudi Penne, Steven Truijen, Wim Saeys:
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression. Artif. Intell. Medicine 149: 102770 (2024) - Balázs Borsos, Corinne G. Allaart, Aart van Halteren:
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data. Artif. Intell. Medicine 147: 102719 (2024) - Paolo Buono, Nadia Berthouze, Maria Francesca Costabile, Adela Grando, Andreas Holzinger:
Special issue on Human-Centered Artificial Intelligence for One Health. Artif. Intell. Medicine 156: 102946 (2024) - Federico Cabitza, Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Valerio Caccavella, Enrico Gallazzi:
Never tell me the odds: Investigating pro-hoc explanations in medical decision making. Artif. Intell. Medicine 150: 102819 (2024) - Meiling Cai, Lin Zhao, Yan Qiang, Long Wang, Juanjuan Zhao:
CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer. Artif. Intell. Medicine 155: 102931 (2024) - Lulu Cao, Chaochen Wu, Guan Luo, Chao Guo, Anni Zheng:
Online biomedical named entities recognition by data and knowledge-driven model. Artif. Intell. Medicine 150: 102813 (2024) - Lucas Pereira Carlini, Gabriel de Almeida Sá Coutrin, Leonardo Antunes Ferreira, Juliana do Carmo Azevedo Soares, Giselle V. T. Silva, Tatiany Marcondes Heideirich, Rita C. X. Balda, Marina Carvalho de Moraes Barros, Ruth Guinsburg, Carlos Eduardo Thomaz:
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. Artif. Intell. Medicine 147: 102724 (2024) - Wenjia Chen, Jinlin Li:
Teleconsultation dynamic scheduling with a deep reinforcement learning approach. Artif. Intell. Medicine 149: 102806 (2024)
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