helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can feedback from trusted others (e.g., family or friends) be systematically integrated into PTSD diagnosis and treatment for veterans?Direction: AI Explainability, Trust, and Calibration
Medical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
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124 items
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In which symptom observations (e.g., avoidance, hypervigilance) is customized SMS feedback from trusted others most effective?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What functional, frequency, and data presentation needs and preferences do different user groups (veterans, trusted others, clinicians) have for the system?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Veterans struggle to actively participate in PTSD treatment, and support from trusted others is not effectively utilized.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How should interactive systems be designed in digital pathology to support efficient collaboration between pathologists and imperfect AI?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How does the RAVS system improve diagnostic speed and accuracy through HCI design?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can pathologists' trust be gradually built with assistance from imperfect AI?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Pathologists struggle to quickly and accurately assess cancer metastasis regions and find imperfect AI difficult to trust.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can reliable cough detection be achieved with end-to-end deep learning models even in noisy real environments?UbiComp '21Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can cough audio features be applied to lung health assessment tasks through transfer learning to improve accuracy and interpretability?UbiComp '21Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In a multiple instance learning framework, can attention mechanisms effectively identify cough samples highly relevant to lung health assessment?UbiComp '21Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio
lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians struggle to assess lung health from cough audio in noisy environments with existing technology.UbiComp '21Listen2Cough: Leveraging End-to-End Deep Learning Cough Detection Model to Enhance Lung Health Assessment Using Passively Sensed Audio
helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do AI symptom checkers (AISCs) change traditional definitions of medical authority?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do users evaluate the authority of AISCs?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How is authority distributed for AISCs within the healthcare ecosystem?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Users may over-trust AI symptom checker diagnostic results, posing health risks.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How do community health workers understand AI technology and what attitudes do they hold toward its use in their work?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Can AI-assisted mHealth applications improve community health workers' efficiency and community trust?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
What data privacy and cultural adaptation challenges may community health workers face when using AI technology?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Health workers in rural areas struggle to use AI smoothly to improve work outcomes.helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In time-constrained medical decisions, how can AI tools be designed to build trust and support collaboration?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
How can machine learning-driven decision support tools better integrate clinical workflows and consider patient preferences?helpResearch questionMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
In antidepressant selection, which design principles can improve decision support tool utility and acceptance?lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians struggle to efficiently decide on antidepressants, and patients often experience trial-and-error processes.Related papers
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