helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can AI capability abstraction and example resources improve AI concept generation quality and feasibility?Direction: AI Explainability, Trust, and Calibration
Medical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
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124 items
lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Clinical AI systems often struggle to gain doctors' trust in real-world application.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can vision-language models (VLMs) be designed to support radiologists in generating efficient preliminary reports?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can VLMs improve radiologists' diagnostic efficiency through task-specific tools (such as image search and history summarization)?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do doctors' trust and adaptability to VLM-based AI tools manifest in radiology workflows?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Radiologists face heavy workloads in complex imaging analysis and often feel inefficient.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can large language models (LLMs) improve UX and physician trust in AI-based clinical decision support systems (AI-CDSS)?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In medical team collaboration, how does combining AI-CDSS with LLMs affect decision processes and interaction patterns?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In simulated environments, how does GutGPT affect usage patterns and decision effectiveness among physicians with different experience levels?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians have low trust in AI clinical decision support systems, affecting adoption and use.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can computing technology improve users' physical, mental, and social health?UbiComp '23WellComp 2023: Sixth International Workshop on Computing for Well-Being
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can multimodal data integration and machine learning address challenges of missing sensor data or sparse labels?UbiComp '23WellComp 2023: Sixth International Workshop on Computing for Well-Being
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can an integrated well-being monitoring system be built while protecting privacy and ensuring data trustworthiness?UbiComp '23WellComp 2023: Sixth International Workshop on Computing for Well-Being
lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Modern technology improves efficiency but increases user stress without significantly improving well-being.UbiComp '23WellComp 2023: Sixth International Workshop on Computing for Well-Being
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can digital therapeutics (DTx) be designed to overcome technical and design bottlenecks and improve medical application?UbiComp '23Digital Therapeutics Evolution: What kind of Research Will Make the Difference in this Area?
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Which high-potential technologies (e.g., AI-driven chatbots, virtual reality) can most effectively serve as digital adjuncts to improve DTx outcomes?UbiComp '23Digital Therapeutics Evolution: What kind of Research Will Make the Difference in this Area?
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What roles can AI play in human-computer interaction and personalized digital therapeutic design?UbiComp '23Digital Therapeutics Evolution: What kind of Research Will Make the Difference in this Area?
lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Digital therapeutics face design barriers in broad clinical adoption, with poor technology integration and insufficient credibility.UbiComp '23Digital Therapeutics Evolution: What kind of Research Will Make the Difference in this Area?
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What different roles does AI play in oncology research versus clinical practice?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Is clinicians' trust in AI built more on contestability than on universal acceptance?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What improvements in explainability and contestability does oncology AI need to better fit clinical workflows?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Adoption of AI technology in oncology clinical practice remains very low.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
When using AI-generated treatment recommendations, do clinicians choose to ignore, trust, or negotiate?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Which factors influence clinicians' acceptance of AI treatment recommendations?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What interactive design can improve transparency and explainability of AI treatment recommendations?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
ICU clinicians lack trust in AI treatment recommendations, potentially reducing work efficiency and patient outcomes.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can biomedical literature be used to adjust clinicians' trust in AI decision support systems?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can biomedical literature more effectively validate applicability and trustworthiness of AI recommendations than traditional AI mechanism explanations?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What are clinicians' specific needs for evaluating the applicability and robustness of literature support in AI recommendations?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Clinicians struggle to fully trust AI recommendation accuracy, potentially affecting decisions and patient outcomes.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In personalized medicine based on medical imaging, how do different tones (e.g., assertive vs. suggestive) affect physicians' acceptance and decision efficiency of AI recommendations?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can dynamically adjusting AI recommendation tone improve diagnostic efficiency for physicians at different experience levels?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Which visualization and explanatory information best help physicians understand diagnostic reasoning provided by AI?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Medical imaging AI recommendations struggle to adapt to physician experience differences, reducing diagnostic efficiency and trust.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can AI treatment decision support systems be designed to enhance clinician trust and adoption?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can AI tools balance population-level data with personalized clinical decision-making?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Which design principles can reduce disruption of clinical workflows by AI systems?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Clinicians have low trust in AI treatment decision support systems and struggle to integrate them into existing workflows.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can user-centered design improve interaction transparency and user trust in nursing home call recommendation systems?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In nursing home settings, can hybrid recommendation methods (rules and machine learning) address cold-start and data sparsity problems?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can concrete recommendation explanation mechanisms improve users' understanding of and satisfaction with health decision support systems?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Nursing home call systems lack priority recommendations and transparent feedback, leading to delayed responses.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do explanatory interfaces in AI clinical decision support systems affect physicians' acceptance of recommendations?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do different explanation methods (e.g., feature removal) affect physicians' trust and behavioral intentions?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In clinical contexts, how does explanation quality affect user satisfaction with and dependence on decision support systems?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians cannot trust or appropriately use AI recommendations because existing systems provide insufficient explanations.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can algorithmic stress prediction be integrated into personal informatics systems to support college students' mental health management?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do different levels of stress prediction explanations (no explanation, category-level, detailed) affect user reflection and behavior change?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can explainable AI promote user trust and intervention plans in stress management through appropriate design?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
College students struggle to accurately identify stress patterns and take effective mitigation measures accordingly.Related papers
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