Preparing Tomorrow's Physicians for AI-Driven Healthcare: Insights from a Study on Medical Students', Interns', and Residents' Knowledge, Attitudes, and Educational Needs - Scorecard - MDSpire
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Preparing Tomorrow's Physicians for AI-Driven Healthcare: Insights from a Study on Medical Students', Interns', and Residents' Knowledge, Attitudes, and Educational Needs
Clinical Scorecard: Equipping Future Physicians for an AI-Enhanced Healthcare Landscape: Findings from Research on Medical Students', Interns', and Residents' Perspectives, Preparedness, and Learning Requirements
At a Glance
Category
Detail
Condition
Integration of Artificial Intelligence in Healthcare
Key Mechanisms
Trust, workflow integration, human oversight, ethical governance
Target Population
Medical and dental trainees in the UAE
Care Setting
Medical education and clinical practice
Key Highlights
Moderate awareness of AI applications among trainees
Limited formal AI training reported
Strong support for structured AI education
AI viewed as a tool for clinical support and workflow optimization
Concerns regarding accuracy, bias, and data security
Guideline-Based Recommendations
Diagnosis
Management
Emphasize longitudinal, clinically relevant education on AI
Ensure robust ethical governance and institutional support
Monitoring & Follow-up
Routine verification and human judgment in AI applications
Risks
Concerns related to accuracy, bias, data security, and preservation of empathy in patient care
Patient & Prescribing Data
Not specified
AI seen as assistive and time-saving for learning, research, and selected clinical tasks
Clinical Best Practices
Integrate human-centered and ethically grounded approaches in AI education
Align education with workflow integration and governance
