A5030652703- Artificial Intelligence in Healthcare and Education
- Ethics in Clinical Research
- Ethics and Social Impacts of AI
- Digital Mental Health Interventions
- Health Policy Implementation Science
- Ethics in medical practice
- Healthcare cost, quality, practices
- Patient Dignity and Privacy
- Focus Groups and Qualitative Methods
- Healthcare Systems and Public Health
- Behavioral Health and Interventions
- Impact of AI and Big Data on Business and Society
- Mental Health Treatment and Access
- Forecasting Techniques and Applications
- Healthcare Decision-Making and Restraints
- Explainable Artificial Intelligence (XAI)
- Telemedicine and Telehealth Implementation
- Machine Learning in Healthcare
- Mobile Health and mHealth Applications
WinnMed
2022-2025
Mayo Clinic
2025
Mayo Clinic in Florida
2023-2024
Background As artificial intelligence (AI) tools are integrated more widely in psychiatric medicine, it is important to consider the impact these will have on clinical practice. Objective This study aimed characterize physician perspectives potential AI medicine. Methods We interviewed 42 physicians (21 psychiatrists and 21 family medicine practitioners). These interviews used detailed case scenarios involving use of technologies evaluation, diagnosis, treatment conditions. Interviews were...
Background: Artificial Intelligence (AI)-enabled devices are increasingly used in healthcare. However, there has been limited research on patients’ informational preferences, including which elements of AI device labeling enhance patient understanding, trust, and acceptance. Clear effective patient-facing communication is essential to address concerns support informed decision-making regarding AI-enabled care.Objective: Using simulated labels a cardiovascular context, we evaluated three...
Abstract Background As health systems incorporate artificial intelligence (AI) into various aspects of patient care, there is growing interest in understanding how to ensure transparent and trustworthy implementation. However, little attention has been given what information patients need about these technologies promote transparency their use. Methods We conducted three asynchronous online focus groups with 42 across the United States discussing perspectives on needs for trust uptake AI,...