lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians struggle to make rapid, high-confidence diagnostic decisions amid vast medical information.AI Explainability, Trust, and Calibration / Medical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration
Physicians struggle to make rapid, high-confidence diagnostic decisions amid vast medical information.
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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