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

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

31 January 2023
Venkatesh Sivaraman
L. Bukowski
J. Levin
J. Kahn
Adam Perer
ArXivPDFHTML

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
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
21
0
0
09 May 2025
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support
Venkatesh Sivaraman
Katelyn Morrison
Will Epperson
Adam Perer
20
0
0
10 Apr 2025
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
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
...
Y. Zhang
Heng Ji
Keshav Pingali
Yan Leng
Ying Ding
LLMAG
83
0
0
26 Mar 2025
Practically implementing an LLM-supported collaborative vulnerability
  remediation process: a team-based approach
Practically implementing an LLM-supported collaborative vulnerability remediation process: a team-based approach
Xiaoqing Wang
Yuanjing Tian
Keman Huang
Bin Liang
29
0
0
21 Sep 2024
Beyond Recommendations: From Backward to Forward AI Support of Pilots'
  Decision-Making Process
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
33
4
0
13 Jun 2024
Explainable AI improves task performance in human-AI collaboration
Explainable AI improves task performance in human-AI collaboration
J. Senoner
Simon Schallmoser
Bernhard Kratzwald
Stefan Feuerriegel
Torbjørn H. Netland
32
7
0
12 Jun 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences
  in Conversational XAI
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI
A. Wijekoon
D. Corsar
Nirmalie Wiratunga
Kyle Martin
Pedram Salimi
18
2
0
16 May 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights
  for Personalized Clinical Decision Support Focused on Cannabis Intoxication
  in Young Adults
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
21
3
0
22 Apr 2024
Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI
  Decision Aids -- A Gig Driver Case Study
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
41
0
0
09 Apr 2024
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
Mingzhe Yang
Hiromi Arai
Naomi Yamashita
Yukino Baba
FaML
31
6
0
08 Apr 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the
  Current Paradigm of Using XAI in Healthcare
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
"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
21
1
0
25 Mar 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
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
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
43
5
0
21 Feb 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in
  the Intensive Care Unit
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
31
14
0
21 Feb 2024
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms
  and Designing Systems
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems
Kimi Wenzel
Geoff F. Kaufman
Laura A. Dabbish
FaML
9
0
0
19 Dec 2023
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the
  Age of LLMs
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
19
14
0
19 Dec 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making:
  Protected vs Proxy Features
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
Navita Goyal
Connor Baumler
Tin Nguyen
Hal Daumé
24
6
0
12 Oct 2023
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A
  Case Study in Sepsis Diagnosis
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
21
40
0
17 Sep 2023
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling
  and Visualization to Enrich Medical Diagnostic Learning
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
14
6
0
23 Jul 2023
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time
  Pressure
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
S. Swaroop
Zana Buçinca
Krzysztof Z. Gajos
Finale Doshi-Velez
19
14
0
12 Jun 2023
In Search of Verifiability: Explanations Rarely Enable Complementary
  Performance in AI-Advised Decision Making
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making
Raymond Fok
Daniel S. Weld
19
61
0
12 May 2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven
  decision support
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
Tim Miller
8
117
0
24 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human
  Understanding with Luhmann's Functional Theory of Communication
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
B. Keenan
Kacper Sokol
11
7
0
07 Feb 2023
Challenges in Explanation Quality Evaluation
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
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
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