A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

He, Kai, Mao, Rui, Lin, Qika, Ruan, Yucheng, Lan, Xiang, Feng, Mengling, Cambria, Erik·2025·Information Fusion

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Items 201–205 of 205

  1. Knowledge Enhanced Coreference Resolution via Gated Attention
    Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu · 2022 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  2. Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
    Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao · 2024 · ACM International Conference on Information and Knowledge Management (CIKM)
  3. EpiSemoLLM: A Fine-tuned Large Language Model for Epileptogenic Zone Localization Based on Seizure Semiology with a Performance Comparable to Epileptologists
    Shihao Yang, Yaxi Luo, Neel Fotedar, Meng Jiao, Vikram R. Rao, Xinglong Ju, Shasha Wu, Xiaochen Xian, Hai Sun, Ioannis Karakis et al. · 2024 · medRxiv
  4. How can entities improve the quality of medical dialogue generation?
    Longxiang Xiong, Yuchun Guo, Yishuai Chen, Shuowen Liang · 2023 · International Conference on Big Data, Information and Computer Network (BDICN)
  5. MultiMed: Massively Multimodal and Multitask Medical Understanding
    Shentong Mo, Paul Pu Liang · 2024 · arXiv (Cornell University)