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Applied AI in Pulmonology

This advanced course explores the integration of Artificial Intelligence (AI) in pulmonology, focusing on enhancing diagnostic accuracy, personalized treatments, and patient outcomes in respiratory healthcare. It covers AI-driven solutions for detecting and managing diseases like COPD, asthma, lung cancer, and pneumonia, alongside exploring AI’s role in critical care, monitoring, and telemedicine. The course emphasizes hands-on learning through workshops and a capstone project to design AI-driven solutions for pulmonology challenges.

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Course Duration:

30 hours

Level:

Advanced

Course Objectives

  • To explore the applications of AI in improving diagnosis, treatment, and patient outcomes in pulmonology.

  • To understand advanced AI tools and techniques used in respiratory healthcare.

  • To design and develop AI-driven solutions for pulmonology-related challenges.

Prerequisites

  • A background in healthcare, pulmonology, or related fields (e.g., respiratory therapy).

  • Basic understanding of AI concepts, machine learning, and data analytics.

  • Familiarity with programming or data science tools (helpful, but not mandatory).

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