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Applied AI in Rheumatology

This advanced course provides healthcare professionals, researchers, and AI practitioners with the knowledge and skills to apply AI technologies in rheumatology. The course covers AI techniques for diagnosis, treatment planning, patient management, research, and more. Participants will gain hands-on experience in building AI models and analyzing real-world applications in rheumatology.

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Course Duration:

30 hours

Level:

Advanced

Course Objectives

  • Equip participants with AI knowledge and skills for rheumatology applications.

  • Explore AI tools for diagnosing autoimmune diseases, such as rheumatoid arthritis and lupus.

  • Understand how AI can optimize personalized treatment planning and medication.

  • Learn how AI-driven technologies can support remote monitoring and patient management.

  • Investigate NLP applications in analyzing clinical and research data.

  • Explore AI’s role in advancing research in rheumatology and clinical trials.

  • Address the ethical, legal, and regulatory issues in AI adoption for healthcare.

  • Provide practical experience with AI model development and evaluation.

Prerequisites

  • Background in healthcare, rheumatology, or biomedical sciences.

  • Familiarity with basic AI concepts or prior exposure to machine learning (recommended but not mandatory).

  • Basic understanding of healthcare data (e.g., electronic health records).

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