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AI in Healthcare

head with circuits and heart monitor

Coming June 2023! 

Stay tuned for an online, on-demand Professional Development course for healthcare providers, aspiring health professionals, and individuals interested in artificial intelligence.

Free Webinar: Foundations, How it Works and Ethics

Join us for a free webinar covering the foundations of artificial intelligence, how it works, and the ethical considerations surrounding it.

Register to attend

Online Course Overview

This group of modules introduces the fundamentals of artificial Intelligence and related types of learning. It spends much of it’s time equipping the learners with vocabulary that the rest of the modules rely on. It will equip learners with knowledge of the strengths and weaknesses of AI, a brief history of AI, and explain the components and inner workings of AI systems.


Learning Objectives

  1. Define key concepts in artificial intelligence (AI), machine learning (ML), and deep learning (DL)
  1. Identify key concepts in AI and AI systems as relevant to healthcare
  2. Apply essential AI principles to your healthcare and scholarly practice

This group of modules gets into the mechanics of AI and how it learns from data. It offers essential and in-depth examples of the underlying functions and for those interested actually shows the math in action as AI models learn and improve to yield better outcomes for healthcare.


Learning Objectives

  1. Discuss key principles in medical applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL)
  2. Appraise new discoveries and applications of AI in literature, their relevance to healthcare, and systems in practice
  3. Critically appraise AI models for healthcare applications
  4. Foster multi-disciplinary collaboration to advance AI in healthcare

This group of modules delves into the ethics of using and interacting with AI, explaining humanistic and multi-disciplinary theoretical perspectives that position AI as enhancing human thinking and facilitating solutions to real-world problems. This group of modules equips the learner to ask big questions and investigate precise and practical answers for applying and experiencing AI in healthcare setting.


Learning Objectives

  1. Identify key ethical considerations in the context of AI in healthcare
  2. Appraise AI systems and literature for ethical considerations
  3. Integrate multi-disciplinary understandings and ethics of AI in Healthcare
  4. Review past failings and successes to highlight the benefits and danger of using AI in medicine.