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Advanced AI in Family Medicine

This advanced course delves into cutting-edge applications of artificial intelligence (AI) in family medicine, including AI-driven clinical decision support, predictive analytics, medical imaging, remote monitoring, and personalized treatment planning. Participants will explore deep learning, natural language processing (NLP), AI-powered workflow automation, and AI applications in drug discovery and mental health. The course also covers ethical considerations, regulatory compliance, and emerging AI trends in primary care.

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Course Duration:

36 hours

Level:

Advanced

Course Objectives

  • Apply advanced AI techniques for clinical decision-making, diagnosis, and treatment optimization.

  • Implement predictive analytics for disease prevention and risk stratification in primary care.

  • Utilise deep learning for medical imaging analysis and AI-powered diagnostics.

  • Integrate AI-driven remote monitoring and wearable technologies in patient care.

  • Leverage NLP and voice recognition for electronic health record (EHR) automation.

  • Explore AI applications in personalized medicine, mental health, and behavioral analytics.

  • Analyse AI’s role in drug discovery, prescription management, and polypharmacy.

  • Assess the ethical, legal, and regulatory implications of AI adoption in family medicine.

  • Develop AI-driven workflow optimization strategies for healthcare operations.

  • Explore emerging AI innovations such as digital twins and precision healthcare modeling.

Prerequisites

  • Medical background (physicians, healthcare administrators, medical AI researchers, or advanced medical students)

  • Basic understanding of AI and machine learning principles

  • Familiarity with electronic health records (EHR) and healthcare data

  • Prior experience with healthcare technology or digital health tools (recommended but not required)

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