Dean’s Keynote Topics
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AI Ethics and Regulation in Healthcare
Addressing bias in AI algorithms.
Ensuring patient data privacy and compliance with regulations like GDPR and HIPAA.
Defining accountability and liability in AI-driven clinical decisions.
Integration of AI in Clinical Workflows
Seamlessly embedding AI tools into EHR systems.
Reducing clinician burnout by automating administrative tasks.
AI in Personalized Medicine
Utilizing AI to analyze genetic data for tailored treatment plans.
Advancing pharmacogenomics for optimized drug therapies.
Predictive Analytics and Population Health
Identifying at-risk patient populations through data patterns.
Proactively managing chronic diseases to reduce hospital readmissions.
Using AI to interpret data from wearable devices for chronic disease management.
Enhancing virtual consultations with AI-driven diagnostic support.
Remote Patient Monitoring and Telehealth
AI and Robotics in Surgery
Improving precision and outcomes in minimally invasive surgeries.
Integrating AI for real-time decision support during surgical procedures.
Leveraging AI to bring advanced diagnostics to underserved areas.
Training AI on diverse datasets to improve inclusivity in healthcare solutions.
Addressing Disparities in Healthcare Access
AI in Drug Discovery and Development
Accelerating drug development timelines using AI models.
Predicting drug efficacy and adverse effects during trials.
Developing transparent AI models for better clinical trust.
Enabling healthcare providers to understand AI recommendations in diagnostics and treatment.
Explainable AI (XAI)
