Artificial Intelligence & Machine Learning in Medicine; Trends & Attitudes



Welcome to the first lesson of this flexible, online learning programme. Your facilitator is Candice De Carvalho (MSc Med, Human Genetics; MSc Med, Bioethics & Health Law). Watch this introductory video before proceeding to the lessons:

More about Candice:

As the founder of Easy Ethics CPD, Candice focuses on the ethics of cutting-edge technologies in medicine.

Candice has experience in delivering CPD ethics talks at conferences and her greatest passion is to re-invigorate the healthcare industry with relevant and engaging ethics content that will both educate and inspire.

Before focusing on ethics, Candice co-founded a digital marketing agency and is interested in new technologies that both improve medical outcomes as well as medical communications.

Candice was selected for the first cohort of FUTURE FEMALES in 2018, beating out over 450 other applicants globally with her new business concept — which is the online CPD platform, Easy Ethics CPD.

Candice holds two Masters Degrees, and Her Masters research in human genetics studied novel genetic mutations in black and coloured South African cystic fibrosis patients and her Masters in applied bioethics reflected on the question: ‘who owns your genetic material?’.

In her spare time Candice can be found propagating succulents and is always in search of a new rare succulent species to add to her collection!


Live Q&A online:

Remember to indicate your attendance to the live Q&A at 10:30 am on 13 November 2020. This event will be your chance to ask questions, and Candice will prepare some discussion topics for the event. Please contact Alison Blackurst to RSVP.

In this lesson 1 you will:

  • Receive an introduction to AI and ML algorithms
  • Learn about an overview of applications in medicine
  • Be exposed to trends in use of AI and wearables in medicine; and
  • Research into trends and attitudes of the public toward AI in medicine
  • Learn about the problem of the ‘responsibility gap’ in AI technologies in medicine

Topic: Introduction to AI and Machine Learning Algorithms

In this presentation, learn about the key aspects of how algorithms work; the difference between specific and general AI and the 5 key areas where AI is being applied to medicine.

Topic: Trends and Attitudes

In this presentation, gain some insights into research around economic and sentiment trends of the public concerning the use of AI in medicine.

Topic: The Responsibility Gap

In this presentation, which is an exerpt of a course on medical ChatBots, gain an insight into the philosophical basis of free will and learn about the responsibility gab that opens up when technology goes wrong.

Reflection questions:

  1. Do you think you will see general AI in your lifetime?
  2. Do you think that the current regulatory frameworks you are exposed to are able to deal with new technology advances in AI?
  3. Do you personally feel that you would be comfortable seeking healthcare advice with a technology tool rather than through traditional face-to-face channels?
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