Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care

31 January 2023

Papers citing "Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care"

26 / 26 papers shown

Title
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 26 0 0 09 May 2025
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support Venkatesh Sivaraman Katelyn Morrison Will Epperson Adam Perer 27 0 0 10 Apr 2025
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews Huimin Xu Seungjun Yi Terence Lim Jiawei Xu Andrew Well ... Yuyao Zhang Heng Ji Keshav Pingali Yan Leng Ying Ding LLMAG 91 0 0 26 Mar 2025
Practically implementing an LLM-supported collaborative vulnerability remediation process: a team-based approach Xiaoqing Wang Yuanjing Tian Keman Huang Bin Liang 34 1 0 21 Sep 2024
Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process Z. Zhang Sebastian S. Feger Lucas Dullenkopf Rulu Liao Lukas Süsslin Yuanting Liu Andreas Butz 47 4 0 13 Jun 2024
Explainable AI improves task performance in human-AI collaboration J. Senoner Simon Schallmoser Bernhard Kratzwald Stefan Feuerriegel Torbjørn H. Netland 42 8 0 12 Jun 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI A. Wijekoon D. Corsar Nirmalie Wiratunga Kyle Martin Pedram Salimi 34 2 0 16 May 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults Tongze Zhang Tammy Chung Anind Dey Sang Won Bae 31 3 0 22 Apr 2024
Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids -- A Gig Driver Case Study Rex Chen Ruiyi Wang Norman M. Sadeh Fei Fang 55 0 0 09 Apr 2024
Fair Machine Guidance to Enhance Fair Decision Making in Biased People Mingzhe Yang Hiromi Arai Naomi Yamashita Yukino Baba FaML 39 6 0 08 Apr 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare Elisa Rubegni Omran Ayoub Stefania Maria Rita Rizzo Marco Barbero G. Bernegger Francesca Faraci Francesca Mangili Emiliano Soldini P. Trimboli Alessandro Facchini 29 1 0 06 Apr 2024
"It is there, and you need it, so why do you not use it?" Achieving better adoption of AI systems by domain experts, in the case study of natural science research Auste Simkute Ewa Luger Michael Evans Rhianne Jones 29 1 0 25 Mar 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 26 20 0 25 Mar 2024
Investigating Why Clinicians Deviate from Standards of Care: Liberating Patients from Mechanical Ventilation in the ICU Nur Yildirim Susanna Zlotnikov Aradhana Venkat Gursimran Chawla Jennifer Kim L. Bukowski Jeremy M. Kahn James McCann John Zimmerman 49 5 0 21 Feb 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit Nur Yildirim Susanna Zlotnikov Deniz Sayar Jeremy M. Kahn L. Bukowski ... Venkatesh Sivaraman Adam Perer Sarah Preum James McCann John Zimmerman 37 14 0 21 Feb 2024
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems Kimi Wenzel Geoff F. Kaufman Laura A. Dabbish FaML 19 0 0 19 Dec 2023
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs Maria Antoniak Aakanksha Naik Carla S. Alvarado Lucy Lu Wang Irene Y. Chen AILaw 26 15 0 19 Dec 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Navita Goyal Connor Baumler Tin Nguyen Hal Daumé 26 6 0 12 Oct 2023
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis Shao Zhang Jianing Yu Xuhai Xu Changchang Yin Yuxuan Lu ... Melanie Tory Lace M. Padilla Jeffrey Caterino Ping Zhang Dakuo Wang 30 40 0 17 Sep 2023
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning Ouyang Yang Yuchen Wu He Wang Chenyang Zhang Furui Cheng Chang Jiang Lixia Jin Yuanwu Cao Qu Li 16 6 0 23 Jul 2023
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure S. Swaroop Zana Buçinca Krzysztof Z. Gajos Finale Doshi-Velez 29 14 0 12 Jun 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 24 61 0 12 May 2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support Tim Miller 21 119 0 24 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 16 7 0 07 Feb 2023
Challenges in Explanation Quality Evaluation Hendrik Schuff Heike Adel Peng Qi Ngoc Thang Vu XAI 33 3 0 13 Oct 2022
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification Michael S. Yao Allison Chae Matthew T. MacLean A. Verma J. Duda ... Drew A Torigian Daniel Rader Charles E. Kahn W. Witschey H. Sagreiya 24 1 0 20 Sep 2022