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Frontiers in Artificial Intelligence|March 15, 2024
Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithmZhewei Zhang, Chunhai Ke, Zhibin Zhang, et al.
Frontiers in Artificial Intelligence|March 12, 2024
Benchmarking the influence of pre-training on explanation performance in MR image classificationMarta Oliveira, Rick Wilming, Benedict Clark, et al.
Frontiers in Artificial Intelligence|October 2, 2024
Evolving intellectual property landscape for AI-driven innovations in the biomedical sector: opportunities in stable IP regime for shared successAbhijit Poddar, S R Rao
Frontiers in Artificial Intelligence|September 20, 2024
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classificationSivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, et al.
Frontiers in Artificial Intelligence|September 9, 2024
Multitask connected U-Net: automatic lung cancer segmentation from CT images using PET knowledge guidanceLu Zhou, Chaoyong Wu, Yiheng Chen, et al.
Frontiers in Artificial Intelligence|March 7, 2024
A machine learning model to predict heart failure readmission: toward optimal feature setSonia Jahangiri, Masoud Abdollahi, Ehsan Rashedi, et al.
Frontiers in Artificial Intelligence|March 5, 2024
Neuroimaging data repositories and AI-driven healthcare-Global aspirations vs. ethical considerations in machine learning models of neurological diseaseChristine Lock, Nicole Si Min Tan, Ian James Long, et al.
Frontiers in Artificial Intelligence|February 22, 2024
The perils and promises of fact-checking with large language modelsDorian Quelle, Alexandre Bovet
Frontiers in Artificial Intelligence|February 20, 2024
Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed casesAreej Alhhazmi, Ahmad Alferidi, Yahya A Almutawif, et al.
Frontiers in Artificial Intelligence|February 21, 2024
Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AINataliya Tkachenko, Simon Frieder, Ryan-Rhys Griffiths, et al.
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