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Healthcare decision-making represents one of the most challenging domains for Artificial Intelligence (AI), requiring the integration of diverse knowledge sources, complex reasoning, and various external analytical tools.
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Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
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Margot Savoy · 2020
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Early experience with watson for oncology: a clinical decision-support system for prostate cancer treatment recommendations
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U-net based analysis of mri for alzheimer’s disease diagnosis
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Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun · 2022
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Multistage diagnosis of alzheimer’s disease based on slice attention network
Xiaolai Huo, Chung-Ming Own, Yue Zhou, Nannan Wu, and Jianwen Sun · 2022
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Multi-modal hypergraph diffusion network with dual prior for alzheimer classification
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Multi-modal masked autoencoders for medical vision-and-language pre-training
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, and Tsung-Hui Chang · 2022
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Improving the factual correctness of radiology report generation with semantic rewards
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Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A Coburn, Keith T Wilson, Bennett A Landman, and Yuankai Huo · 2023
Xraygpt: Chest radiographs summarization using medical vision-language models
Omkar Thawkar, Abdelrahman Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Jorma Laaksonen, and Fahad Shahbaz Khan · 2023
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Llm-cxr: instruction-finetuned llm for cxr image understanding and generation
Suhyeon Lee, Won Jun Kim, Jinho Chang, and Jong Chul Ye · 2023
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Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, et al · 2024
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Mdagents: An adaptive collaboration of llms for medical decision-making (2024)
Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, and Hae Won Park · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Juan M García-Gómez, Vicent Blanes-Selva, José Carlos de Bartolomé Cenzano, Jaime Cebolla-Cornejo, and Ascensión Doñate-Martínez · 2023
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A brief review of explainable artificial intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S Alkhawaldeh, Sadiq Hussain, et al · 2023
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Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images
Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric Chang, Tackeun Kim, et al · 2023
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Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Pmc-vqa: Visual instruction tuning for medical visual question answering
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
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Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, et al · 2024
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Towards generalist biomedical ai
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Charles Lau, Ryutaro Tanno, Ira Ktena, et al · 2024
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Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez · 2024
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Toolace: Winning the points of llm function calling
Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, et al · 2024
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xlam: A family of large action models to empower ai agent systems
Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, et al · 2024
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Drugbank 6.0: the drugbank knowledgebase for 2024
Craig Knox, Mike Wilson, Christen M Klinger, Mark Franklin, Eponine Oler, Alex Wilson, Allison Pon, Jordan Cox, Na Eun Chin, Seth A Strawbridge, et al · 2024
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Toward expert-level medical question answering with large language models
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Mohamed Amin, Le Hou, Kevin Clark, Stephen R Pfohl, Heather Cole-Lewis, et al · 2025
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A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches
Matias Rolando, Victor Raggio, Hugo Naya, Lucia Spangenberg, and Leticia Cagnina · 2025
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Apigen-mt: Agentic pipeline for multi-turn data generation via simulated agent-human interplay
Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, et al · 2025
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Search-o1: Agentic search-enhanced large reasoning models
Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, and Zhicheng Dou · 2025
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Webthinker: Empowering large reasoning models with deep research capability
Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yutao Zhu, Yongkang Wu, Ji-Rong Wen, and Zhicheng Dou · 2025
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Agentic reasoning: Reasoning llms with tools for the deep research
Junde Wu, Jiayuan Zhu, and Yuyuan Liu · 2025
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