helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can explainable AI (XAI) methods for medical diagnosis be designed to align with domain knowledge systems and reasoning processes?Direction: AI Explainability, Trust, and Calibration
Medical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Stats are based on currently indexed question data; missing sources remain visible.
124
items
31
sources
2025
latest
All questions
124 items
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do diagrammatic explanations and selective abductive reasoning improve AI explanation credibility and user trust in cardiac diagnosis?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How does the DiagramNet model simultaneously improve predictive performance and explainability in heart sound diagnosis?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians distrust AI diagnostic results because explanations are not intuitive and do not match domain knowledge systems.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do AI conversational agents using encouraging language affect users' self-efficacy in performing health self-checks?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can encouraging language from such AI agents improve trust in the agent, especially the benevolence dimension?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Which feedback type—encouraging or neutral language—is more effective in health self-check tasks?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Users struggle to perform accurate health self-checks due to lack of confidence or knowledge.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How is trust in generative AI chatbots for social anxiety support formed and changed?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can generative AI simultaneously meet emotional trust needs of people with severe social anxiety and cognitive trust needs of those with mild symptoms?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do social anxiety patients' experiences with generative AI affect their trust and adoption willingness?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
People with social anxiety struggle to access effective psychological support, and trust in generative AI is low.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do AI medical technologies embed social values and create visions of future society through design?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do these technologies reshape roles of patients, physicians, and AI?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What potential ethical and social risks arise from current AI medical technologies' reliance on efficiency and data-driven design?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Patients and physicians struggle to trust and adapt to efficiency-first AI medical technologies.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do patients decide when facing consistent or conflicting advice from AI and doctors?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How does patients' trust in AI affect their compliance with AI recommendations?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What factors drive patients toward more conservative choices such as accepting biopsy under conflicting AI and doctor recommendations?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Patients' decision logic for diagnostic recommendations under joint AI and doctor advice remains unclear.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What specific challenges do medicine and AI fields face in interdisciplinary collaboration?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can a framework address terminology issues and optimize resource management in medicine-AI collaboration?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can AI-augmented tools improve collaboration efficiency between medicine and AI teams in practice?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Medical professionals and AI researchers lack common language and trust in collaboration.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do users perceive AI-assisted decision-making in personal health decisions, especially regarding trust?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Which decision styles such as rational, intuitive, and dependent affect users' trust in AI?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can AI systems through shared decision-making models improve adaptability to user health needs and trust?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Users may struggle to trust AI recommendations when using AI for health decisions.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can knowledge graphs and retrieval-augmented generation improve the accuracy and trustworthiness of medical question-answering systems?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can multi-agent systems support collaborative diagnosis of complex cases in medicine?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can hallucination in pretrained language models for medical diagnosis be reduced?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians struggle to make rapid, high-confidence diagnostic decisions amid vast medical information.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can smart device sensor data be combined with multi-turn medical dialogue systems to improve diagnostic accuracy?UbiComp '24DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can LLM-based virtual doctor systems dynamically integrate up-to-date medical knowledge for disease diagnosis?UbiComp '24DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can patient descriptions, sensor data, and clinical guidelines be fused during diagnostic reasoning to improve explainability and reliability?UbiComp '24DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
User descriptions are subjective and imprecise, leading to high misdiagnosis risk in virtual diagnostic systems.UbiComp '24DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can interaction design (e.g., Explorable Explanations) help community health workers with low digital literacy understand AI prediction mechanisms?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can Explorable Explanations significantly improve community health workers' critical thinking about AI systems?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can AI explainability tools be optimized for resource-constrained environments to meet specific sociocultural needs?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Community health workers struggle to understand AI-assisted decision tools due to high technical barriers.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do patients view different levels of AI autonomy in medical decision-making?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do patients' preferred AI roles differ between low-risk and high-risk medical contexts?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What factors influence patients' trust in and preferences for AI?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Patients feel uncertain about AI's role in medical decision-making and do not know how to trust or accept it.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do patients view the transparency and privacy of AI predictions of schizophrenia relapse?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How large is the gap between patient-defined schizophrenia relapse and clinical assumptions in AI models?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can patient-centered AI tool design enhance collaboration between self-management and support systems?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Patients have trust and privacy concerns about AI predictions of schizophrenia relapse.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can a user-centered concept generation framework be developed for clinical AI in intensive care units?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can multidisciplinary teams better define problems and generate concepts in early AI project stages?Related papers
CHI 2025
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis
Brian Y Lim, Joseph Paul Cahaly, Yu Feng Chester Sng
CHI 2025
Enhancing Self-Efficacy in Health Self-Examination through Conversational Agent's Encouragement
Naja Kathrine Kollerup, Maria-Theresa Bahodi, Samuel Rhys Cox
CHI 2025
Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support
Yimeng Wang, Yinzhou Wang, Kelly Crace
CHI 2025
Architecting Utopias: How AI in Healthcare Envisions Societal Ideals and Human Flourishing
Catherine Wieczorek, Heidi Biggs, Kamala Payyapilly Thiruvenkatanathan
CHI 2025
Who is Trusted for a Second Opinion? Comparing Collective Advice from a Medical AI and Physicians in Biopsy Decisions After Mammography Screening
Henrik Detjen, Lars Densky, Niklas von Kalckreuth
CHI 2025
MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts
Chen Cao, Yu Wu, Xiao Zoe Fang
CHI 2025
Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process
Sterre van Arum, Hüseyin Uğur Genç, Dennis Reidsma
CHI 2025
Accurate Insights, Trustworthy Interactions: Designing a Collaborative AI-Human Multi-Agent System with Knowledge Graph for Diagnosis Prediction
Haoran Li, Xiaoping Zhang, Xusen Cheng
CHI 2024
Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India
Ian René Solano-Kamaiko, Dibyendu Mishra, Nicola Dell
CHI 2024
How Much Decision Power Should (A)I Have?: Investigating Patients’ Preferences Towards AI Autonomy in Healthcare Decision Making
Dajung Kim, Niko Vegt, Valentijn Visch
CHI 2024
Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment
Dong Whi Yoo, Hayoung Woo, Viet Cuong Nguyen
CHI 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit
Nur Yildirim, Susanna Zlotnikov, Deniz Sayar
Adjacent categories
AI Explainability, Trust, and Calibration
Uncertainty Communication and Calibrated Reliance
127 items
AI Explainability, Trust, and Calibration
LLM Trust and Over/Under-Reliance
124 items
AI Explainability, Trust, and Calibration
XAI Explanation and Appropriate Reliance Calibration
101 items
AI Explainability, Trust, and Calibration
Explanation Form Design and Comprehension Effects
100 items
AI Explainability, Trust, and Calibration
Transparency, Auditability, and Trust Calibration Mechanisms
72 items
AI Explainability, Trust, and Calibration
Trust in Conversational AI and Chatbots
71 items
AI Explainability, Trust, and Calibration
AI Decision Support and Reliance Behavior
56 items
AI Explainability, Trust, and Calibration
Misinformation, Content Labeling, and Authenticity Trust
49 items