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Training medical personnel using standardized patients (SPs) remains a complex challenge, requiring extensive domain expertise and role-specific practice.
Language models are few-shot learners
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Meeting the needs of simulated patients and caring for the person behind them?
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Simulation-based medical education: an ethical imperative
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Coaching standardized patients: For use in the assessment of clinical competence
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The comprehensive textbook of healthcare simulation
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Multidisciplinary in-hospital teams improve patient outcomes: A review
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Simulated partners and collaborative exercise (space) to boost motivation for astronauts: study protocol
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Quizbot: A dialogue-based adaptive learning system for factual knowledge
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Can simulated partners boost workout effort in long-term exercise?
Deborah L Feltz, Christopher R Hill, Stephen Samendinger, Nicholas D Myers, James M Pivarnik, Brian Winn, Alison Ede, and Lori Ploutz-Snyder. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
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A technical and conceptual framework for serious role-playing games in the area of social skill training
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Exploring the limits of transfer learning with a unified text-to-text transformer
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The multidisciplinary team (mdt) approach and quality of care
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A dataset of simulated patient-physician medical interviews with a focus on respiratory cases
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Large language models encode clinical knowledge
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Innovations in surgical training: exploring the role of artificial intelligence and large language models (llm)
Julian Varas, Brandon Valencia Coronel, IGNACIO VILLAGRáN, Gabriel Escalona, Rocio Hernandez, Gregory Schuit, VALENTINA DURáN, Antonia Lagos-Villaseca, Cristian Jarry, Andres Neyem, et al. 2023 · 2023
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Retrieval meets long context large language models
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Alpacare: Instruction-tuned large language models for medical application
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 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 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023 · 2023
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Llm-empowered chatbots for psychiatrist and patient simulation: application and evaluation
Siyuan Chen, Mengyue Wu, Kenny Q Zhu, Kunyao Lan, Zhiling Zhang, and Lyuchun Cui. 2023 · 2023
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Similarity matching of medical question based on siamese network
Qing Li and Song He. 2023 · 2023
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Xinlu Zhang, Chenxin Tian, Xianjun Yang, Lichang Chen, Zekun Li, and Linda Ruth Petzold. 2023 · 2023
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J Zico Kolter, and Matt Fredrikson. 2023 · 2023
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Enhancing ophthalmology medical record management with multi-modal knowledge graphs
Weihao Gao, Fuju Rong, Lei Shao, Zhuo Deng, Daimin Xiao, Ruiheng Zhang, Chucheng Chen, Zheng Gong, Zhiyuan Niu, Fang Li, et al. 2024 · 2024
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Mdagents: An adaptive collaboration of llms for medical decision-making
Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, and Hae Won Park. 2024 · 2024
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Autonomous agents for collaborative task under information asymmetry
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Rehearsal: Simulating conflict to teach conflict resolution
Omar Shaikh, Valentino Emil Chai, Michele Gelfand, Diyi Yang, and Michael S Bernstein. 2024 · 2024
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Principle-driven self-alignment of language models from scratch with minimal human supervision
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Tree of thoughts: Deliberate problem solving with large language models
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Aipatient: Simulating patients with ehrs and llm powered agentic workflow
Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, et al. 2024 · 2024
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Expel: Llm agents are experiential learners
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, and Gao Huang. 2024 · 2024
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Agent-as-a-judge: Evaluate agents with agents
Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, et al. 2024 · 2024
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