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Foundation models are becoming valuable tools in medicine.
Decision making during serious illness: what role do patients really want to play?
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Clinical decision-making by midwives: managing case complexity
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Reliability and validity of a new five-level triage instrument
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Clinical problem solving and diagnostic decision making: selective review of the cognitive literature
Arthur S Elstein and Alan Schwarz · 2002
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Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy
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Many emergency department visits could be managed at urgent care centers and retail clinics
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Emergency severity index (esi): A triage tool for emergency department care, version 4. implementation handbook 2012 edition
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Anand K Parekh, Richard A Goodman, Catherine Gordon, Howard K Koh, and HHS Interagency Workgroup on Multiple Chronic Conditions · 2011
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Multidisciplinary teamwork is an important issue to healthcare professionals
Justin Bitter, Elizabeth van Veen-Berkx, Hein G Gooszen, and Pierre van Amelsvoort · 2013
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Psychiatric diagnosis: impersonal, imperfect and important
Nick Craddock and Laurence Mynors-Wallis · 2014
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Multidisciplinary in-hospital teams improve patient outcomes: A review
Nancy E Epstein · 2014
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A conceptual model of the role of complexity in the care of patients with multiple chronic conditions
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Consideration of comorbidity in treatment decision making in multidisciplinary cancer team meetings: a systematic review
J Stairmand, Louise Signal, D Sarfati, C Jackson, L Batten, M Holdaway, and C Cunningham · 2015
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Reaping the benefits of integrated health care. stanford social innovation review
M. Jimenez-Lara · 2016
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Variability in acuity in acute care
Amy L Garcia · 2017
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Comparative accuracy of diagnosis by collective intelligence of multiple physicians vs individual physicians
Michael L Barnett, Dhruv Boddupalli, Shantanu Nundy, and David W Bates · 2019
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu · 2019
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Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al · 2019
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Multidisciplinary teaming: Enhancing collaboration through increased understanding
Danielle L LaFrance, Mary Jane Weiss, Ellie Kazemi, Joanne Gerenser, and Jacqueline Dobres · 2019
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The use of analytic hierarchy process for measuring the complexity of medical diagnosis
Ofir Ben-Assuli, Nanda Kumar, Ofer Arazy, and Itamar Shabtai · 2020
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Language models are few-shot learners, 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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An integrative collaborative care model for people with mental illness and physical comorbidities
Carolyn Ee, James Lake, Joseph Firth, Fiona Hargraves, M De Manincor, Tanya Meade, Wolfgang Marx, and Jerome Sarris · 2020
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Pathvqa: 30000+ questions for medical visual question answering, 2020
Xuehai He, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie · 2020
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What disease does this patient have? a large-scale open domain question answering dataset from medical exams, 2020
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits · 2020
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Alfworld: Aligning text and embodied environments for interactive learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew Hausknecht · 2020
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The multidisciplinary team (mdt) approach and quality of care
Miren Taberna, Francisco Gil Moncayo, Enric Jané-Salas, Maite Antonio, Lorena Arribas, Esther Vilajosana, Elisabet Peralvez Torres, and Ricard Mesía · 2020
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon · 2021
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Measuring mathematical problem solving with the math dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt · 2021
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Clinical decision-support systems
Mark A Musen, Blackford Middleton, and Robert A Greenes · 2021
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Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
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A dataset for medical instructional video classification and question answering, 2022
Deepak Gupta, Kush Attal, and Dina Demner-Fushman · 2022
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
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Five strategies for clinicians to advance diagnostic excellence
Hardeep Singh, Denise M Connor, and Gurpreet Dhaliwal · 2022
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Ddxplus: A new dataset for automatic medical diagnosis, 2022
Arsene Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, and Joumana Ghosn · 2022
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Almanac: Retrieval-augmented language models for clinical medicine, 2023
Cyril Zakka, Akash Chaurasia, Rohan Shad, Alex R. Dalal, Jennifer L. Kim, Michael Moor, Kevin Alexander, Euan Ashley, Jack Boyd, Kathleen Boyd, Karen Hirsch, Curt Langlotz, Joanna Nelson, and William Hiesinger · 2023
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Integrating automated knowledge extraction with large language models for explainable medical decision-making
Haodi Zhang, Jiahong Li, Yichi Wang, and Yuanfeng Songi · 2023
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Pmc-vqa: Visual instruction tuning for medical visual question answering, 2023
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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The difficulty of medical decision-making: should patients be involved?
Junbin Zhou and Xiao Xu · 2023
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Nlice: Synthetic medical record generation for effective primary healthcare differential diagnosis, 2024
Zaid Al-Ars, Obinna Agba, Zhuoran Guo, Christiaan Boerkamp, Ziyaad Jaber, and Tareq Jaber · 2024
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Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Outpatient e/m coding simplified
Thomas Weida and Jane Weida · 2022
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Socratic models: Composing zero-shot multimodal reasoning with language, 2022
Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, and Pete Florence · 2022
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Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors, 2023
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, and Jie Zhou · 2023
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The future landscape of large language models in medicine
Jan Clusmann, Fiona R Kolbinger, Hannah Sophie Muti, Zunamys I Carrero, Jan-Niklas Eckardt, Narmin Ghaffari Laleh, Chiara Maria Lavinia Löffler, Sophie-Caroline Schwarzkopf, Michaela Unger, Gregory P Veldhuizen, et al · 2023
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Improving factuality and reasoning in language models through multiagent debate, 2023
Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, and Igor Mordatch · 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 · 2024
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Benchmarking large language models on answering and explaining challenging medical questions, 2024
Hanjie Chen, Zhouxiang Fang, Yash Singla, and Mark Dredze · 2024
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Reconcile: Round-table conference improves reasoning via consensus among diverse llms, 2024
Justin Chih-Yao Chen, Swarnadeep Saha, and Mohit Bansal · 2024
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Ai hospital: Interactive evaluation and collaboration of llms as intern doctors for clinical diagnosis, 2024
Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, and Jingren Zhou · 2024
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Agentmd: Empowering language agents for risk prediction with large-scale clinical tool learning
Qiao Jin, Zhizheng Wang, Yifan Yang, Qingqing Zhu, Donald Wright, Thomas Huang, W John Wilbur, Zhe He, Andrew Taylor, Qingyu Chen, et al · 2024
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Genegpt: augmenting large language models with domain tools for improved access to biomedical information
Qiao Jin, Yifan Yang, Qingyu Chen, and Zhiyong Lu · 2024
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Health-llm: Large language models for health prediction via wearable sensor data, 2024
Yubin Kim, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, and Hae Won Park · 2024
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Training language models to self-correct via reinforcement learning
Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, et al · 2024
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Agent hospital: A simulacrum of hospital with evolvable medical agents
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Mediq: Question-asking llms for adaptive and reliable medical reasoning
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Rule based rewards for language model safety
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Gpt-4 technical report, 2024
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Do llm agents have regret? a case study in online learning and games
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Capabilities of gemini models in medicine
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Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records, 2024
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