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Applied AI in Dermatology

This advanced course explores the intersection of artificial intelligence and dermatology, focusing on the use of AI for diagnostics, treatment planning, and personalized care. Participants will gain a deep understanding of advanced AI techniques such as computer vision, deep learning, and natural language processing in the context of dermatology. The course also covers ethical, regulatory, and implementation challenges in integrating AI into clinical dermatology practice. Hands-on experience will be provided in developing AI solutions for dermatological use cases.

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Course Duration:

36 hours

Level:

Advanced

Course Objectives

  • Explore AI applications in dermatology, focusing on diagnostics, treatment, and personalized care.

  • Understand advanced AI techniques, including deep learning, computer vision, and natural language processing for dermatology.

  • Evaluate ethical, regulatory, and implementation challenges in dermatological AI integration.

  • Develop practical skills in building and deploying AI solutions for dermatology.

  • Analyse future trends and innovations in AI-driven dermatology.

Prerequisites

  • Basic knowledge of dermatology and medical imaging.

  • Familiarity with AI fundamentals, such as machine learning and deep learning.

  • Proficiency in programming (Python preferred) and experience with AI frameworks (e.g., TensorFlow, PyTorch).

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