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@article{zhang2024llm,
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@article{zhang2022automatic,
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@article{tabari2024state,
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@article{patel2023,
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@misc{ministerio_saude_2024,
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@article{martinez2024,
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@misc{vynamic2024health,
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  note         = {Accessed: 2025-01-07},
  year         = {2024}
}

@article{kumar2024,
  author       = {Kumar, A. and Smith, R.},
  title        = {Innovations in health data interoperability: A review of the latest technologies},
  journal      = {IEEE Reviews in Biomedical Engineering},
  year         = {2024},
  volume       = {15},
  pages        = {215-230}
}

@article{kim2024,
  author={Kim, Y. and Park, S.},
  title={SNOMED CT and its influence on clinical decision support systems},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  volume={28},
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  pages={145--155},
  year={2024}
}

@article{Zaganelli2023,
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  volume  = {17},
  number  = {3},
  year    = {2023},
  doi     = {10.29397/reciis.v17i3.368}
}


@article{chen2024,
  author       = {Chen, L. and Garcia, H.},
  title        = {The role of HL7 in facilitating integrated health systems},
  journal      = {IEEE Journal of Biomedical and Health Informatics},
  year         = {2024},
  volume       = {28},
  number       = {2},
  pages        = {120-130}
}

@misc{AGÊNCIA.NACIONAL.DE.PROTEÇÃO.DE.DADOS.2021,
  author = {Agência Nacional de Proteção de Dados (ANPD)},
  title = {Diretrizes sobre proteção de dados em saúde},
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@misc{BRASIL.CONSELHO.NACIONAL.DE.SAÚDE.2012,
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@misc{AGÊNCIA.NACIONAL.DE.PROTEÇÃO.DE.DADOS.2021,
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@misc{ANPD.2021b,
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@misc{ans_2024,
  author       = {{Agência Nacional de Saúde Suplementar (ANS)}},
  title        = {Agência Nacional de Saúde Suplementar},
  year         = {2024},
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@article{nguyen2024,
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  volume={28},
  number={4},
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  year={2024}
}

@article{nguyen2023,
  author       = {Nguyen, T. and Lee, H.},
  title        = {Challenges and solutions in adopting FHIR standards for health data exchange},
  journal      = {IEEE Transactions on Information Technology in Biomedicine},
  year         = {2023},
  volume       = {28},
  number       = {2},
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}

@article{meyer2021,
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  title={The role of SNOMED CT in electronic health records},
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  volume={68},
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  pages={751--759},
  year={2021}
}


$$$$$$ ESTADO DA ARTE

@article{JAHAN2024108189,
title = {A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks},
journal = {Computers in Biology and Medicine},
volume = {171},
pages = {108189},
year = {2024},
issn = {0010-4825},
doi = {https://doi.org/10.1016/j.compbiomed.2024.108189},
url = {https://www.sciencedirect.com/science/article/pii/S0010482524002737},
author = {Israt Jahan and Md Tahmid Rahman Laskar and Chun Peng and Jimmy Xiangji Huang},
keywords = {Large language models, ChatGPT, PaLM, LLaMA, Claude, Transformer, Natural language processing, LLM evaluation},
}

@article{TAYLOR2024102988,
title = {Model development for bespoke large language models for digital triage assistance in mental health care},
journal = {Artificial Intelligence in Medicine},
volume = {157},
pages = {102988},
year = {2024},
issn = {0933-3657},
doi = {https://doi.org/10.1016/j.artmed.2024.102988},
url = {https://www.sciencedirect.com/science/article/pii/S0933365724002306},
author = {Niall Taylor and Andrey Kormilitzin and Isabelle Lorge and Alejo Nevado-Holgado and Andrea Cipriani and Dan W. Joyce},
keywords = {Mental health, LLM, Triage, Clinical support, Efficiency, Attention},
}

@article{SONG2024103248,
title = {PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis},
journal = {Medical Image Analysis},
volume = {97},
pages = {103248},
year = {2024},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2024.103248},
url = {https://www.sciencedirect.com/science/article/pii/S1361841524001737},
author = {Meiyue Song and Jiarui Wang and Zhihua Yu and Jiaxin Wang and Le Yang and Yuting Lu and Baicun Li and Xue Wang and Xiaoxu Wang and Qinghua Huang and Zhijun Li and Nikolaos I. Kanellakis and Jiangfeng Liu and Jing Wang and Binglu Wang and Juntao Yang},
keywords = {Large language model, Medical image diagnosis, Foundational model},
}

@article{CHIEN2024108329,
title = {Using large language model (LLM) to identify high-burden informal caregivers in long-term care},
journal = {Computer Methods and Programs in Biomedicine},
volume = {255},
pages = {108329},
year = {2024},
issn = {0169-2607},
doi = {https://doi.org/10.1016/j.cmpb.2024.108329},
url = {https://www.sciencedirect.com/science/article/pii/S0169260724003225},
author = {Shuo-Chen Chien and Chia-Ming Yen and Yu-Hung Chang and Ying-Erh Chen and Chia-Chun Liu and Yu-Ping Hsiao and Ping-Yen Yang and Hong-Ming Lin and Tsung-En Yang and Xing-Hua Lu and I-Chien Wu and Chih-Cheng Hsu and Hung-Yi Chiou and Ren-Hua Chung},
keywords = {Natural language processing, Large language model, Informal caregiver burden, Long-term care, Attention mechanism visualization},
}

@article{XUE2024108399,
title = {Xiaoqing: A Q&A model for glaucoma based on LLMs},
journal = {Computers in Biology and Medicine},
volume = {174},
pages = {108399},
year = {2024},
issn = {0010-4825},
doi = {https://doi.org/10.1016/j.compbiomed.2024.108399},
url = {https://www.sciencedirect.com/science/article/pii/S0010482524004839},
author = {Xiaojuan Xue and Deshiwei Zhang and Chengyang Sun and Yiqiao Shi and Rongsheng Wang and Tao Tan and Peng Gao and Sujie Fan and Guangtao Zhai and Menghan Hu and Yue Wu},
keywords = {Glaucoma, Large Language Models (LLMs), Medical NLP system, Ophthalmology question and answer system},
}


@article{TAN2024108290,
title = {MedChatZH: A tuning LLM for traditional Chinese medicine consultations},
journal = {Computers in Biology and Medicine},
volume = {172},
pages = {108290},
year = {2024},
issn = {0010-4825},
doi = {https://doi.org/10.1016/j.compbiomed.2024.108290},
url = {https://www.sciencedirect.com/science/article/pii/S0010482524003743},
author = {Yang Tan and Zhixing Zhang and Mingchen Li and Fei Pan and Hao Duan and Zijie Huang and Hua Deng and Zhuohang Yu and Chen Yang and Guoyang Shen and Peng Qi and Chengyuan Yue and Yuxian Liu and Liang Hong and Huiqun Yu and Guisheng Fan and Yun Tang},
keywords = {Generative large language models (LLMs), Question-answering (QA), Dialogue model, Traditional Chinese medical QA, Fine-tuning},
}

@ARTICLE{10720422,
  author={Wu, Dongyuan and Nie, Liming and Mumtaz, Rao Asad and Agarwal, Kadambri},
  journal={IEEE Journal of Biomedical and Health Informatics}, 
  title={A LLM-Based Hybrid-Transformer Diagnosis System in Healthcare}, 
  year={2024},
  volume={},
  number={},
  pages={1-12},
  keywords={Transformers;Image segmentation;Medical diagnostic imaging;Computer architecture;Medical services;Computational modeling;Accuracy;Training;Convolution;Context modeling;Diagnosis;Medical imaging;Transformer;Fuzzy selector;LLM},
  doi={10.1109/JBHI.2024.3481412}}

@ARTICLE{10697478,
  author={Zhang, Yuzhe and Liu, Huan and Xiao, Yang and Amoon, Mohammed and Zhang, Dalin and Wang, Di and Yang, Shusen and Quek, Chai},
  journal={IEEE Journal of Biomedical and Health Informatics}, 
  title={LLM-Enhanced Multi-Teacher Knowledge Distillation for Modality-Incomplete Emotion Recognition in Daily Healthcare}, 
  year={2024},
  volume={},
  number={},
  pages={1-11},
  keywords={Brain modeling;Electroencephalography;Emotion recognition;Physiology;Knowledge engineering;Feature extraction;Medical services;Bioinformatics;Biological system modeling;Training;Healthcare;Emotion Recognition;Large Language Model;Multi-teacher Knowledge Distillation},
  doi={10.1109/JBHI.2024.3470338}}

@ARTICLE{10538107,
  author={Sarzaeim, Paria and Mahmoud, Qusay H. and Azim, Akramul},
  journal={IEEE Access}, 
  title={A Framework for LLM-Assisted Smart Policing System}, 
  year={2024},
  volume={12},
  number={},
  pages={74915-74929},
  keywords={Predictive models;Task analysis;Law enforcement;Data models;Artificial intelligence;Recurrent neural networks;Adaptation models;Few-shot learning;Large language models;Crime prediction;fine-tuning;few-shot prompting;large language models;LLM;zero-shot prompting},
  doi={10.1109/ACCESS.2024.3404862}}

@ARTICLE{10689638,
  author={Kim, Jaeyoung and Lee, Sihyeon and Jeon, Hyeon and Lee, Keon-Joo and Bae, Hee-Joon and Kim, Bohyoung and Seo, Jinwook},
  journal={IEEE Transactions on Visualization and Computer Graphics}, 
  title={PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets}, 
  year={2025},
  volume={31},
  number={1},
  pages={470-480},
  keywords={Data visualization;Visual analytics;Stroke (medical condition);Cognitive load;Collaboration;Electronic mail;Decision making;Stroke;Irregularly spaced time-series data;Multi-dimensional data;Cohort analysis;Large language models},
  doi={10.1109/TVCG.2024.3456215}}

@ARTICLE{10720517,
  author={Chen, Xingchi and Lu, Xiaoyang and Li, Qing and Li, Dazhou and Zhu, Fa},
  journal={IEEE Transactions on Vehicular Technology}, 
  title={Integration of LLM and Human-AI Coordination for Power Dispatching with Connected Electric Vehicles under SAGVNs}, 
  year={2024},
  volume={},
  number={},
  pages={1-11},
  keywords={Dispatching;Vehicles;Uncertainty;Electric vehicle charging;Vehicle dynamics;Data models;Power distribution;Heuristic algorithms;Costs;Decision making;Connected electric vehicles;large language model (LLM);deep deterministic policy gradient;space-airground integrated vehicular networks (SAGVNs);power dispatching},
  doi={10.1109/TVT.2024.3434969}}

@ARTICLE{10723298,
  author={Li, Jin and Deng, Yiyan and Sun, Qi and Zhu, Junjie and Tian, Yu and Li, Jingsong and Zhu, Tingting},
  journal={IEEE Journal of Biomedical and Health Informatics}, 
  title={Benchmarking Large Language Models in Evidence-Based Medicine}, 
  year={2024},
  volume={},
  number={},
  pages={1-14},
  keywords={Medical services;Sleep;Question answering (information retrieval);Prompt engineering;Large language models;Bioinformatics;Diseases;Cognition;Biological system modeling;Benchmark testing;Large language models;evidence-based medicine;clinical NLP;Prompt engineering},
  doi={10.1109/JBHI.2024.3483816}}

@ARTICLE{10670469,
  author={Yan, Youfu and Hou, Yu and Xiao, Yongkang and Zhang, Rui and Wang, Qianwen},
  journal={IEEE Transactions on Visualization and Computer Graphics}, 
  title={KNOWNET: Guided Health Information Seeking from LLMs via Knowledge Graph Integration}, 
  year={2024},
  volume={},
  number={},
  pages={1-11},
  keywords={Knowledge graphs;Visualization;Alzheimer's disease;Accuracy;Data visualization;Large language models;Electronic mail;Human-AI interactions;knowledge graph;conversational agent;large language model;progressive visualization},
  doi={10.1109/TVCG.2024.3456364}}

@article{BONFIGLI2024103003,
title = {From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain},
journal = {Artificial Intelligence in Medicine},
volume = {157},
pages = {103003},
year = {2024},
issn = {0933-3657},
doi = {https://doi.org/10.1016/j.artmed.2024.103003},
url = {https://www.sciencedirect.com/science/article/pii/S0933365724002458},
author = {Agnese Bonfigli and Luca Bacco and Mario Merone and Felice Dell’Orletta},
keywords = {Large Language Models, Biomedical domain, Domain adaptation, Probing tasks, BERT, GPT},
}

%% Artigo pedido pelo revisor 1

@article{sun2024transunet,
  title={DA-TransUNet: integrating spatial and channel dual attention with transformer U-net for medical image segmentation},
  author={Sun, Guanqun and Pan, Yizhi and Kong, Weikun and Xu, Zichang and Ma, Jianhua and Racharak, Teeradaj and Nguyen, Le-Minh and Xin, Junyi},
  journal={Frontiers in Bioengineering and Biotechnology},
  volume={12},
  pages={1398237},
  year={2024},
  publisher={Frontiers Media SA}
}

@ARTICLE{10456909,
  author={Sun, Guanqun and Shu, Han and Shao, Feihe and Racharak, Teeradaj and Kong, Weikun and Pan, Yizhi and Dong, Jingjing and Wang, Shuang and Nguyen, Le-Minh and Xin, Junyi},
  journal={IEEE Access}, 
  title={FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation}, 
  year={2024},
  volume={12},
  number={},
  pages={33687-33704},
  keywords={Image segmentation;Data models;Data privacy;Federated learning;Training data;Costs;Medical diagnostic imaging;Biomedical imaging;Knowledge acquisition;Deep learning;Accuracy;Data privacy;Medical image segmentation;federated learning;knowledge distillation;U-net},
  doi={10.1109/ACCESS.2024.3372394}}

@article{pan2024mutual,
  title={A mutual inclusion mechanism for precise boundary segmentation in medical images},
  author={Pan, Yizhi and Xin, Junyi and Yang, Tianhua and Li, Siqi and Nguyen, Le-Minh and Racharak, Teeradaj and Li, Kai and Sun, Guanqun},
  journal={Frontiers in Bioengineering and Biotechnology},
  volume={12},
  pages={1504249},
  year={2024},
  publisher={Frontiers Media SA}
}