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.AI Explainability, Trust, and Calibration / Medical 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.
Similar questions
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.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.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.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.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.lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Medical professionals and AI researchers lack common language and trust in collaboration.Related papers
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