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AI Explainability, Trust, and Calibration / Medical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration

User descriptions are subjective and imprecise, leading to high misdiagnosis risk in virtual diagnostic systems.

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

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.

CHI '25Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis

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.

CHI '25Enhancing Self-Efficacy in Health Self-Examination through Conversational Agent's Encouragement

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.

CHI '25Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support

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.

CHI '25Architecting Utopias: How AI in Healthcare Envisions Societal Ideals and Human Flourishing

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.

CHI '25Who is Trusted for a Second Opinion? Comparing Collective Advice from a Medical AI and Physicians in Biopsy Decisions After Mammography Screening

lightbulbPractical problemMedical AI Trust, Clinical Decision Support, and Patient-Provider Collaboration

Medical professionals and AI researchers lack common language and trust in collaboration.

CHI '25MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts

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